void close() {
// done with color frame reader
SafeRelease(m_pColorFrameReader);
// close the Kinect Sensor
if (device)
{
device->Close();
SafeRelease(device);
device = 0;
}
}
int main()
{
cout << "Hello, welcome to kinect world!" << endl;
IKinectSensor* ikinectSensor;
HRESULT hr = GetDefaultKinectSensor(&ikinectSensor);
if (FAILED(hr)){
cout << "No Kinect connect to you pc !" << endl;
return 0;
}
cout << "Success connect to you pc !" << endl;
BOOLEAN bIsOpen = 0; // detect kinect is open
BOOLEAN bAvaliable = 0; // detect kinect is avaliable
ikinectSensor->get_IsOpen(&bIsOpen);
printf("bIsOpen is : %d \n", bIsOpen);
if (!bIsOpen){
hr = ikinectSensor->Open();
if (FAILED(hr)){
return 0;
}
// Because it take little time to open kinect, so just loop until device is avaliable.
while (!bAvaliable){
ikinectSensor->get_IsAvailable(&bAvaliable);
}
}
bIsOpen = 0;
ikinectSensor->get_IsOpen(&bIsOpen);
printf("bIsOpen is : %d \n", bIsOpen);
printf("bAvaliable is : %d \n", bAvaliable);
DWORD dwCapability = 0;
ikinectSensor->get_KinectCapabilities(&dwCapability);
printf("dwCapability is : %d \n", dwCapability);
TCHAR build[Number] = { 0 };
ikinectSensor->get_UniqueKinectId(Number, build);
printf("UID is %d \n", build);
ikinectSensor->Close();
system("pause");
return 0;
}
int main(int argc, char** argv)
{
// 1a. Get default Sensor
cout << "Try to get default sensor" << endl;
IKinectSensor* pSensor = nullptr;
if (GetDefaultKinectSensor(&pSensor) != S_OK)
{
cerr << "Get Sensor failed" << endl;
return -1;
}
// 1b. Open sensor
cout << "Try to open sensor" << endl;
if (pSensor->Open() != S_OK)
{
cerr << "Can't open sensor" << endl;
return -1;
}
// 2a. Get frame source
cout << "Try to get body index source" << endl;
IBodyIndexFrameSource* pFrameSource = nullptr;
if (pSensor->get_BodyIndexFrameSource(&pFrameSource) != S_OK)
{
cerr << "Can't get body index frame source" << endl;
return -1;
}
// 2b. Get frame description
cout << "get body index frame description" << endl;
int iWidth = 0;
int iHeight = 0;
IFrameDescription* pFrameDescription = nullptr;
if (pFrameSource->get_FrameDescription(&pFrameDescription) == S_OK)
{
pFrameDescription->get_Width(&iWidth);
pFrameDescription->get_Height(&iHeight);
}
pFrameDescription->Release();
pFrameDescription = nullptr;
// 3a. get frame reader
cout << "Try to get body index frame reader" << endl;
IBodyIndexFrameReader* pFrameReader = nullptr;
if (pFrameSource->OpenReader(&pFrameReader) != S_OK)
{
cerr << "Can't get body index frame reader" << endl;
return -1;
}
// 2c. release Frame source
cout << "Release frame source" << endl;
pFrameSource->Release();
pFrameSource = nullptr;
// Prepare OpenCV data
cv::Mat mImg(iHeight, iWidth, CV_8UC3);
cv::namedWindow("Body Index Image");
// color array
cv::Vec3b aColorTable[7] = {
cv::Vec3b(255,0,0),
cv::Vec3b(0,255,0),
cv::Vec3b(0,0,255),
cv::Vec3b(255,255,0),
cv::Vec3b(255,0,255),
cv::Vec3b(0,255,255),
cv::Vec3b(0,0,0),
};
// Enter main loop
while (true)
{
// 4a. Get last frame
IBodyIndexFrame* pFrame = nullptr;
if (pFrameReader->AcquireLatestFrame(&pFrame) == S_OK)
{
// 4c. Fill OpenCV image
UINT uSize = 0;
BYTE* pBuffer = nullptr;
if (pFrame->AccessUnderlyingBuffer(&uSize,&pBuffer) == S_OK)
{
for (int y = 0; y < iHeight; ++y)
{
for (int x = 0; x < iWidth; ++x)
{
int uBodyIdx = pBuffer[x + y * iWidth];
if (uBodyIdx < 6)
mImg.at<cv::Vec3b>(y, x) = aColorTable[uBodyIdx];
else
mImg.at<cv::Vec3b>(y, x) = aColorTable[6];
}
}
cv::imshow("Body Index Image", mImg);
}
else
{
cerr << "Data access error" << endl;
}
// 4e. release frame
pFrame->Release();
}
// 4f. check keyboard input
if (cv::waitKey(30) == VK_ESCAPE){
break;
}
}
// 3b. release frame reader
cout << "Release frame reader" << endl;
pFrameReader->Release();
pFrameReader = nullptr;
// 1c. Close Sensor
cout << "close sensor" << endl;
pSensor->Close();
// 1d. Release Sensor
cout << "Release sensor" << endl;
pSensor->Release();
pSensor = nullptr;
return 0;
}
int main(int argc, char** argv)
{
// 1a. Get default Sensor
cout << "Try to get default sensor" << endl;
IKinectSensor* pSensor = nullptr;
if (GetDefaultKinectSensor(&pSensor) != S_OK)
{
cerr << "Get Sensor failed" << endl;
}
else
{
// 1b. Open sensor
cout << "Try to open sensor" << endl;
if (pSensor->Open() != S_OK)
{
cerr << "Can't open sensor" << endl;
}
else
{
// 2a. Get frame source
cout << "Try to get source" << endl;
IDepthFrameSource* pFrameSource = nullptr;
if (pSensor->get_DepthFrameSource(&pFrameSource) != S_OK)
{
cerr << "Can't get frame source" << endl;
}
else
{
// 2b. Get frame description
int iWidth = 0;
int iHeight = 0;
IFrameDescription* pFrameDescription = nullptr;
if (pFrameSource->get_FrameDescription(&pFrameDescription) == S_OK)
{
pFrameDescription->get_Width(&iWidth);
pFrameDescription->get_Height(&iHeight);
pFrameDescription->Release();
pFrameDescription = nullptr;
}
// 2c. get some dpeth only meta
UINT16 uDepthMin = 0, uDepthMax = 0;
pFrameSource->get_DepthMinReliableDistance(&uDepthMin);
pFrameSource->get_DepthMaxReliableDistance(&uDepthMax);
cout << "Reliable Distance: " << uDepthMin << " - " << uDepthMax << endl;
// perpare OpenCV
cv::Mat mDepthImg(iHeight, iWidth, CV_16UC1);
cv::Mat mImg8bit(iHeight, iWidth, CV_8UC1);
cv::namedWindow( "Depth Map" );
// 3a. get frame reader
cout << "Try to get frame reader" << endl;
IDepthFrameReader* pFrameReader = nullptr;
if (pFrameSource->OpenReader(&pFrameReader) != S_OK)
{
cerr << "Can't get frame reader" << endl;
}
else
{
// Enter main loop
cout << "Enter main loop" << endl;
while (true)
{
// 4a. Get last frame
IDepthFrame* pFrame = nullptr;
if (pFrameReader->AcquireLatestFrame(&pFrame) == S_OK)
{
// 4c. copy the depth map to image
if (pFrame->CopyFrameDataToArray(iWidth * iHeight, reinterpret_cast<UINT16*>(mDepthImg.data)) == S_OK)
{
// 4d. convert from 16bit to 8bit
mDepthImg.convertTo(mImg8bit, CV_8U, 255.0f / uDepthMax);
cv::imshow("Depth Map", mImg8bit);
}
else
{
cerr << "Data copy error" << endl;
}
// 4e. release frame
pFrame->Release();
}
// 4f. check keyboard input
if (cv::waitKey(30) == VK_ESCAPE){
break;
}
}
// 3b. release frame reader
cout << "Release frame reader" << endl;
pFrameReader->Release();
pFrameReader = nullptr;
}
// 2d. release Frame source
cout << "Release frame source" << endl;
pFrameSource->Release();
pFrameSource = nullptr;
}
// 1c. Close Sensor
cout << "close sensor" << endl;
pSensor->Close();
}
// 1d. Release Sensor
cout << "Release sensor" << endl;
pSensor->Release();
pSensor = nullptr;
}
return 0;
}
int _tmain( int argc, _TCHAR* argv[] )
{
cv::setUseOptimized( true );
// Sensor
IKinectSensor* pSensor;
HRESULT hResult = S_OK;
hResult = GetDefaultKinectSensor( &pSensor );
if( FAILED( hResult ) ){
std::cerr << "Error : GetDefaultKinectSensor" << std::endl;
return -1;
}
hResult = pSensor->Open( );
if( FAILED( hResult ) ){
std::cerr << "Error : IKinectSensor::Open()" << std::endl;
return -1;
}
// Source
IColorFrameSource* pColorSource;
hResult = pSensor->get_ColorFrameSource( &pColorSource );
if( FAILED( hResult ) ){
std::cerr << "Error : IKinectSensor::get_ColorFrameSource()" << std::endl;
return -1;
}
IBodyFrameSource* pBodySource;
hResult = pSensor->get_BodyFrameSource( &pBodySource );
if( FAILED( hResult ) ){
std::cerr << "Error : IKinectSensor::get_BodyFrameSource()" << std::endl;
return -1;
}
// Reader
IColorFrameReader* pColorReader;
hResult = pColorSource->OpenReader( &pColorReader );
if( FAILED( hResult ) ){
std::cerr << "Error : IColorFrameSource::OpenReader()" << std::endl;
return -1;
}
IBodyFrameReader* pBodyReader;
hResult = pBodySource->OpenReader( &pBodyReader );
if( FAILED( hResult ) ){
std::cerr << "Error : IBodyFrameSource::OpenReader()" << std::endl;
return -1;
}
// Description
IFrameDescription* pDescription;
hResult = pColorSource->get_FrameDescription( &pDescription );
if( FAILED( hResult ) ){
std::cerr << "Error : IColorFrameSource::get_FrameDescription()" << std::endl;
return -1;
}
int width = 0;
int height = 0;
pDescription->get_Width( &width ); // 1920
pDescription->get_Height( &height ); // 1080
unsigned int bufferSize = width * height * 4 * sizeof( unsigned char );
cv::Mat bufferMat( height, width, CV_8UC4 );
cv::Mat bodyMat( height / 2, width / 2, CV_8UC4 );
cv::namedWindow( "Body" );
// Color Table
cv::Vec3b color[BODY_COUNT];
color[0] = cv::Vec3b( 255, 0, 0 );
color[1] = cv::Vec3b( 0, 255, 0 );
color[2] = cv::Vec3b( 0, 0, 255 );
color[3] = cv::Vec3b( 255, 255, 0 );
color[4] = cv::Vec3b( 255, 0, 255 );
color[5] = cv::Vec3b( 0, 255, 255 );
// Coordinate Mapper
ICoordinateMapper* pCoordinateMapper;
hResult = pSensor->get_CoordinateMapper( &pCoordinateMapper );
if( FAILED( hResult ) ){
std::cerr << "Error : IKinectSensor::get_CoordinateMapper()" << std::endl;
return -1;
}
while( 1 ){
// Frame
IColorFrame* pColorFrame = nullptr;
hResult = pColorReader->AcquireLatestFrame( &pColorFrame );
if( SUCCEEDED( hResult ) ){
hResult = pColorFrame->CopyConvertedFrameDataToArray( bufferSize, reinterpret_cast<BYTE*>( bufferMat.data ), ColorImageFormat::ColorImageFormat_Bgra );
if( SUCCEEDED( hResult ) ){
cv::resize( bufferMat, bodyMat, cv::Size(), 0.5, 0.5 );
}
}
//SafeRelease( pColorFrame );
IBodyFrame* pBodyFrame = nullptr;
hResult = pBodyReader->AcquireLatestFrame( &pBodyFrame );
if( SUCCEEDED( hResult ) ){
IBody* pBody[BODY_COUNT] = { 0 };
hResult = pBodyFrame->GetAndRefreshBodyData( BODY_COUNT, pBody );
if( SUCCEEDED( hResult ) ){
for( int count = 0; count < BODY_COUNT; count++ ){
BOOLEAN bTracked = false;
hResult = pBody[count]->get_IsTracked( &bTracked );
if( SUCCEEDED( hResult ) && bTracked ){
Joint joint[JointType::JointType_Count];
hResult = pBody[ count ]->GetJoints( JointType::JointType_Count, joint );
if( SUCCEEDED( hResult ) ){
// Left Hand State
HandState leftHandState = HandState::HandState_Unknown;
hResult = pBody[count]->get_HandLeftState( &leftHandState );
if( SUCCEEDED( hResult ) ){
ColorSpacePoint colorSpacePoint = { 0 };
hResult = pCoordinateMapper->MapCameraPointToColorSpace( joint[JointType::JointType_HandLeft].Position, &colorSpacePoint );
if( SUCCEEDED( hResult ) ){
int x = static_cast<int>( colorSpacePoint.X );
int y = static_cast<int>( colorSpacePoint.Y );
if( ( x >= 0 ) && ( x < width ) && ( y >= 0 ) && ( y < height ) ){
if( leftHandState == HandState::HandState_Open ){
cv::circle( bufferMat, cv::Point( x, y ), 75, cv::Scalar( 0, 128, 0 ), 5, CV_AA );
}
else if( leftHandState == HandState::HandState_Closed ){
cv::circle( bufferMat, cv::Point( x, y ), 75, cv::Scalar( 0, 0, 128 ), 5, CV_AA );
}
else if( leftHandState == HandState::HandState_Lasso ){
cv::circle( bufferMat, cv::Point( x, y ), 75, cv::Scalar( 128, 128, 0 ), 5, CV_AA );
}
}
}
}
// Right Hand State
HandState rightHandState = HandState::HandState_Unknown;
hResult = pBody[count]->get_HandRightState( &rightHandState );
if( SUCCEEDED( hResult ) ){
ColorSpacePoint colorSpacePoint = { 0 };
hResult = pCoordinateMapper->MapCameraPointToColorSpace( joint[JointType::JointType_HandRight].Position, &colorSpacePoint );
if( SUCCEEDED( hResult ) ){
int x = static_cast<int>( colorSpacePoint.X );
int y = static_cast<int>( colorSpacePoint.Y );
if( ( x >= 0 ) && ( x < width ) && ( y >= 0 ) && ( y < height ) ){
if( rightHandState == HandState::HandState_Open ){
cv::circle( bufferMat, cv::Point( x, y ), 75, cv::Scalar( 0, 128, 0 ), 5, CV_AA );
}
else if( rightHandState == HandState::HandState_Closed ){
cv::circle( bufferMat, cv::Point( x, y ), 75, cv::Scalar( 0, 0, 128 ), 5, CV_AA );
}
else if( rightHandState == HandState::HandState_Lasso ){
cv::circle( bufferMat, cv::Point( x, y ), 75, cv::Scalar( 128, 128, 0 ), 5, CV_AA );
}
}
}
}
// Joint
for( int type = 0; type < JointType::JointType_Count; type++ ){
ColorSpacePoint colorSpacePoint = { 0 };
pCoordinateMapper->MapCameraPointToColorSpace( joint[type].Position, &colorSpacePoint );
int x = static_cast<int>( colorSpacePoint.X );
int y = static_cast<int>( colorSpacePoint.Y );
if( ( x >= 0 ) && ( x < width ) && ( y >= 0 ) && ( y < height ) ){
cv::circle( bufferMat, cv::Point( x, y ), 5, static_cast< cv::Scalar >( color[count] ), -1, CV_AA );
}
}
}
/*// Activity
UINT capacity = 0;
DetectionResult detectionResults = DetectionResult::DetectionResult_Unknown;
hResult = pBody[count]->GetActivityDetectionResults( capacity, &detectionResults );
if( SUCCEEDED( hResult ) ){
if( detectionResults == DetectionResult::DetectionResult_Yes ){
switch( capacity ){
case Activity::Activity_EyeLeftClosed:
std::cout << "Activity_EyeLeftClosed" << std::endl;
break;
case Activity::Activity_EyeRightClosed:
std::cout << "Activity_EyeRightClosed" << std::endl;
break;
case Activity::Activity_MouthOpen:
std::cout << "Activity_MouthOpen" << std::endl;
break;
case Activity::Activity_MouthMoved:
std::cout << "Activity_MouthMoved" << std::endl;
break;
case Activity::Activity_LookingAway:
std::cout << "Activity_LookingAway" << std::endl;
break;
default:
break;
}
}
}
else{
std::cerr << "Error : IBody::GetActivityDetectionResults()" << std::endl;
}*/
/*// Appearance
capacity = 0;
detectionResults = DetectionResult::DetectionResult_Unknown;
hResult = pBody[count]->GetAppearanceDetectionResults( capacity, &detectionResults );
if( SUCCEEDED( hResult ) ){
if( detectionResults == DetectionResult::DetectionResult_Yes ){
switch( capacity ){
case Appearance::Appearance_WearingGlasses:
std::cout << "Appearance_WearingGlasses" << std::endl;
break;
default:
break;
}
}
}
else{
std::cerr << "Error : IBody::GetAppearanceDetectionResults()" << std::endl;
}*/
/*// Expression
capacity = 0;
detectionResults = DetectionResult::DetectionResult_Unknown;
hResult = pBody[count]->GetExpressionDetectionResults( capacity, &detectionResults );
if( SUCCEEDED( hResult ) ){
if( detectionResults == DetectionResult::DetectionResult_Yes ){
switch( capacity ){
case Expression::Expression_Happy:
std::cout << "Expression_Happy" << std::endl;
break;
case Expression::Expression_Neutral:
std::cout << "Expression_Neutral" << std::endl;
break;
default:
break;
}
}
}
else{
std::cerr << "Error : IBody::GetExpressionDetectionResults()" << std::endl;
}*/
// Lean
PointF amount;
hResult = pBody[count]->get_Lean( &amount );
if( SUCCEEDED( hResult ) ){
std::cout << "amount : " << amount.X << ", " << amount.Y << std::endl;
}
}
}
cv::resize( bufferMat, bodyMat, cv::Size(), 0.5, 0.5 );
}
for( int count = 0; count < BODY_COUNT; count++ ){
SafeRelease( pBody[count] );
}
}
//SafeRelease( pBodyFrame );
SafeRelease( pColorFrame );
SafeRelease( pBodyFrame );
cv::imshow( "Body", bodyMat );
if( cv::waitKey( 10 ) == VK_ESCAPE ){
break;
}
}
SafeRelease( pColorSource );
SafeRelease( pBodySource );
SafeRelease( pColorReader );
SafeRelease( pBodyReader );
SafeRelease( pDescription );
SafeRelease( pCoordinateMapper );
if( pSensor ){
pSensor->Close();
}
SafeRelease( pSensor );
cv::destroyAllWindows();
return 0;
}
int main()
{
// name and position windows
cvNamedWindow("Color Probabilistic Tracking - Samples", 1);
cvMoveWindow("Color Probabilistic Tracking - Samples", 0, 0);
cvNamedWindow("Color Probabilistic Tracking - Result", 1);
cvMoveWindow("Color Probabilistic Tracking - Result", 1000, 0);
//control mouse
setMouseCallback("Color Probabilistic Tracking - Samples", onMouse, 0);
cv::setUseOptimized(true);
// Sensor
IKinectSensor* pSensor;
HRESULT hResult = S_OK;
hResult = GetDefaultKinectSensor(&pSensor);
if (FAILED(hResult)) {
std::cerr << "Error : GetDefaultKinectSensor" << std::endl;
return -1;
}
hResult = pSensor->Open();
if (FAILED(hResult)) {
std::cerr << "Error : IKinectSensor::Open()" << std::endl;
return -1;
}
// Source
IColorFrameSource* pColorSource;
hResult = pSensor->get_ColorFrameSource(&pColorSource);
if (FAILED(hResult)) {
std::cerr << "Error : IKinectSensor::get_ColorFrameSource()" << std::endl;
return -1;
}
IDepthFrameSource* pDepthSource;
hResult = pSensor->get_DepthFrameSource(&pDepthSource);
if (FAILED(hResult)) {
std::cerr << "Error : IKinectSensor::get_DepthFrameSource()" << std::endl;
return -1;
}
/*IBodyIndexFrameSource* pBodyIndexSource;
hResult = pSensor->get_BodyIndexFrameSource(&pBodyIndexSource);*/
// Reader
IColorFrameReader* pColorReader;
hResult = pColorSource->OpenReader(&pColorReader);
if (FAILED(hResult)) {
std::cerr << "Error : IColorFrameSource::OpenReader()" << std::endl;
return -1;
}
IDepthFrameReader* pDepthReader;
hResult = pDepthSource->OpenReader(&pDepthReader);
if (FAILED(hResult)) {
std::cerr << "Error : IDepthFrameSource::OpenReader()" << std::endl;
return -1;
}
//IBodyIndexFrameReader* pBodyIndexReader;//saferealease
//hResult = pBodyIndexSource->OpenReader(&pBodyIndexReader);
// Description
IFrameDescription* pColorDescription;
hResult = pColorSource->get_FrameDescription(&pColorDescription);
if (FAILED(hResult)) {
std::cerr << "Error : IColorFrameSource::get_FrameDescription()" << std::endl;
return -1;
}
int colorWidth = 0;
int colorHeight = 0;
pColorDescription->get_Width(&colorWidth); // 1920
pColorDescription->get_Height(&colorHeight); // 1080
unsigned int colorBufferSize = colorWidth * colorHeight * 4 * sizeof(unsigned char);
cv::Mat colorBufferMat(colorHeight, colorWidth, CV_8UC4);
cv::Mat colorMat(colorHeight / 2, colorWidth / 2, CV_8UC4);
cv::namedWindow("Color");
RGBQUAD* m_pDepthRGBX;
m_pDepthRGBX = new RGBQUAD[512 * 424];// create heap storage for color pixel data in RGBX format
IFrameDescription* pDepthDescription;
hResult = pDepthSource->get_FrameDescription(&pDepthDescription);
if (FAILED(hResult)) {
std::cerr << "Error : IDepthFrameSource::get_FrameDescription()" << std::endl;
return -1;
}
int depthWidth = 0;
int depthHeight = 0;
pDepthDescription->get_Width(&depthWidth); // 512
pDepthDescription->get_Height(&depthHeight); // 424
unsigned int depthBufferSize = depthWidth * depthHeight * sizeof(unsigned short);
cv::Mat depthBufferMat(depthHeight, depthWidth, CV_16UC1);
UINT16* pDepthBuffer = nullptr;
cv::Mat depthMat(depthHeight, depthWidth, CV_8UC1);
cv::namedWindow("Depth");
//UINT32 nBodyIndexSize = 0;
//BYTE* pIndexBuffer = nullptr;//This hasn't been safe realease yet
// Coordinate Mapper
ICoordinateMapper* pCoordinateMapper;
hResult = pSensor->get_CoordinateMapper(&pCoordinateMapper);
if (FAILED(hResult)) {
std::cerr << "Error : IKinectSensor::get_CoordinateMapper()" << std::endl;
return -1;
}
cv::Mat coordinateMapperMat(depthHeight, depthWidth, CV_8UC4);
cv::namedWindow("CoordinateMapper");
unsigned short minDepth, maxDepth;
pDepthSource->get_DepthMinReliableDistance(&minDepth);
pDepthSource->get_DepthMaxReliableDistance(&maxDepth);
while (1) {
double t = (double)getTickCount();
// Color Frame
IColorFrame* pColorFrame = nullptr;
hResult = pColorReader->AcquireLatestFrame(&pColorFrame);
if (SUCCEEDED(hResult)) {
hResult = pColorFrame->CopyConvertedFrameDataToArray(colorBufferSize, reinterpret_cast<BYTE*>(colorBufferMat.data), ColorImageFormat::ColorImageFormat_Bgra);
if (SUCCEEDED(hResult)) {
cv::resize(colorBufferMat, colorMat, cv::Size(), 0.5, 0.5);
}
}
//SafeRelease( pColorFrame );
// Depth Frame
IDepthFrame* pDepthFrame = nullptr;
hResult = pDepthReader->AcquireLatestFrame(&pDepthFrame);
if (SUCCEEDED(hResult)) {
hResult = pDepthFrame->AccessUnderlyingBuffer(&depthBufferSize, reinterpret_cast<UINT16**>(&depthBufferMat.data));
}
if (SUCCEEDED(hResult)) {
hResult = pDepthFrame->AccessUnderlyingBuffer(&depthBufferSize, &pDepthBuffer);
if (SUCCEEDED(hResult))
{
RGBQUAD* pRGBX = m_pDepthRGBX;
// end pixel is start + width*height - 1
const UINT16* pBufferEnd = pDepthBuffer + (512 * 424);
int index = 0;
while (pDepthBuffer < pBufferEnd)
{
USHORT depth = *pDepthBuffer;
BYTE intensity = static_cast<BYTE>((depth >= 50) && (depth <= 5000) ? (depth % 256) : 0);
pRGBX->rgbRed = intensity;
pRGBX->rgbGreen = intensity;
pRGBX->rgbBlue = intensity;
depthData[index] = depth;
++index;
++pRGBX;
++pDepthBuffer;
}
}
}
Mat DepthImage(424, 512, CV_8UC4, m_pDepthRGBX);
//SafeRelease( pDepthFrame );
// Mapping (Depth to Color)
if (SUCCEEDED(hResult)) {
std::vector<ColorSpacePoint> colorSpacePoints(depthWidth * depthHeight);
hResult = pCoordinateMapper->MapDepthFrameToColorSpace(depthWidth * depthHeight, reinterpret_cast<UINT16*>(depthBufferMat.data), depthWidth * depthHeight, &colorSpacePoints[0]);
if (SUCCEEDED(hResult)) {
coordinateMapperMat = cv::Scalar(0, 0, 0, 0);
for (int y = 0; y < depthHeight; y++) {
for (int x = 0; x < depthWidth; x++) {
unsigned int index = y * depthWidth + x;
ColorSpacePoint point = colorSpacePoints[index];
int colorX = static_cast<int>(std::floor(point.X + 0.5));
int colorY = static_cast<int>(std::floor(point.Y + 0.5));
unsigned short depth = depthBufferMat.at<unsigned short>(y, x);
if ((colorX >= 0) && (colorX < colorWidth) && (colorY >= 0) && (colorY < colorHeight)/* && ( depth >= minDepth ) && ( depth <= maxDepth )*/) {
coordinateMapperMat.at<cv::Vec4b>(y, x) = colorBufferMat.at<cv::Vec4b>(colorY, colorX);
}
}
}
}
}
if (SUCCEEDED(hResult))
{
//Particle Filter Start from here
frame = &(IplImage)coordinateMapperMat;//transorm mat into IplImage
if (image == 0)
{
// initialize variables and allocate buffers
image = cvCreateImage(cvGetSize(frame), 8, 4);//every pixel has 4 channels
image->origin = frame->origin;
result = cvCreateImage(cvGetSize(frame), 8, 4);
result->origin = frame->origin;
hsv = cvCreateImage(cvGetSize(frame), 8, 3);
hue = cvCreateImage(cvGetSize(frame), 8, 1);
sat = cvCreateImage(cvGetSize(frame), 8, 1);
histimg_ref = cvCreateImage(cvGetSize(frame), 8, 3);
histimg_ref->origin = frame->origin;
cvZero(histimg_ref);
histimg = cvCreateImage(cvGetSize(frame), 8, 3);
histimg->origin = frame->origin;
cvZero(histimg);
bin_w = histimg_ref->width / BIN;
bin_h = histimg_ref->height / BIN;
data1.sample_t = reinterpret_cast<Region *> (malloc(sizeof(Region)* SAMPLE));
data1.sample_t_1 = reinterpret_cast<Region *> (malloc(sizeof(Region)* SAMPLE));
data1.sample_weight = reinterpret_cast<double *> (malloc(sizeof(double)* SAMPLE));
data1.accum_weight = reinterpret_cast<double *> (malloc(sizeof(double)* SAMPLE));
}
cvCopy(frame, image);
cvCopy(frame, result);
cvCvtColor(image, hsv, CV_BGR2HSV);//image ~ hsv
if (tracking)
{
//v_max = 0.0;
cvSplit(hsv, hue, 0, 0, 0);//hsv->hue
cvSplit(hsv, 0, 0, sat, 0);//hsv-saturation
if (selecting)
{
// get the selected target area
//ref_v_max = 0.0;
area.width = abs(P_org.x - P_end.x);
area.height = abs(P_org.y - P_end.y);
area.x = MIN(P_org.x, P_end.x);
area.y = MIN(P_org.y, P_end.y);
cvZero(histimg_ref);
// build reference histogram
cvSetImageROI(hue, area);
cvSetImageROI(sat, area);
// zero reference histogram
for (i = 0; i < BIN; i++)
for (j = 0; j < BIN; j++)
hist_ref[i][j] = 0.0;
// calculate reference histogram
for (i = 0; i < area.height; i++)
{
for (j = 0; j < area.width; j++)
{
im_hue = cvGet2D(hue, i, j);
im_sat = cvGet2D(sat, i, j);
k = int(im_hue.val[0] / STEP_HUE);
h = int(im_sat.val[0] / STEP_SAT);
hist_ref[k][h] = hist_ref[k][h] + 1.0;
}
}
// rescale the value of each bin in the reference histogram
// and show it as an image
for (i = 0; i < BIN; i++)
{
for (j = 0; j < BIN; j++)
{
hist_ref[i][j] = hist_ref[i][j] / (area.height*area.width);
}
}
cvResetImageROI(hue);
cvResetImageROI(sat);
// initialize tracking and samples
track_win = area;
Initdata(track_win);
track_win_last = track_win;
// set up flag of tracking
selecting = 0;
}
// sample propagation and weighting
track_win = ImProcess(hue, sat, hist_ref, track_win_last);
FrameNumber++;
track_win_last = track_win;
cvZero(histimg);
// draw the one RED bounding box
cvRectangle(image, cvPoint(track_win.x, track_win.y), cvPoint(track_win.x + track_win.width, track_win.y + track_win.height), CV_RGB(255, 0, 0), 2);
printf("width = %d, height = %d\n", track_win.width, track_win.height);
//save certian images
if (FrameNumber % 10 == 0)
{
if (FrameNumber / 10 == 1) cvSaveImage("./imageout1.jpg", image);
if (FrameNumber / 10 == 2) cvSaveImage("./imageout2.jpg", image);
if (FrameNumber / 10 == 3) cvSaveImage("./imageout3.jpg", image);
if (FrameNumber / 10 == 4) cvSaveImage("./imageout4.jpg", image);
if (FrameNumber / 10 == 5) cvSaveImage("./imageout5.jpg", image);
if (FrameNumber / 10 == 6) cvSaveImage("./imageout6.jpg", image);
if (FrameNumber / 10 == 7) cvSaveImage("./imageout7.jpg", image);
if (FrameNumber / 10 == 8) cvSaveImage("./imageout8.jpg", image);
}
//save certian images
if (FrameNumber % 10 == 0)
{
if (FrameNumber / 10 == 1) cvSaveImage("./resultout1.jpg", result);
if (FrameNumber / 10 == 2) cvSaveImage("./resultout2.jpg", result);
if (FrameNumber / 10 == 3) cvSaveImage("./resultout3.jpg", result);
if (FrameNumber / 10 == 4) cvSaveImage("./resultout4.jpg", result);
if (FrameNumber / 10 == 5) cvSaveImage("./resultout5.jpg", result);
if (FrameNumber / 10 == 6) cvSaveImage("./resultout6.jpg", result);
if (FrameNumber / 10 == 7) cvSaveImage("./resultout7.jpg", result);
if (FrameNumber / 10 == 8) cvSaveImage("./resultout8.jpg", result);
}
//draw a same bounding box in DepthImage
rectangle(DepthImage, track_win, CV_RGB(255, 0, 0), 2);
//******************************************************Geodesic Distance***************************************************************************************
//Point propagation and weight
if (PointTrack == 1)
{
if (PointSelect == 1)//only visit once
{
// initialize tracking and samples
for (int i = 0; i < SAMPLE; i++)
{
point[i].x_1 = P_track.x;
point[i].y_1 = P_track.y;
point[i].z_1 = depthData[P_track.x + P_track.y * 512];
point[i].x_1_prime = 0.0;
point[i].y_1_prime = 0.0;
}
refeFlag = 1;
p_win = P_track;
//p_transtart is the start point of the surface mesh
P_transtart.x = track_win.x;
P_transtart.y = track_win.y;
PointSelect = 0;
}
//construct the graph(mesh)
ConstructMesh(depthData, adjlist, P_transtart,track_win.width,track_win.height);
//calculate shortest path
vector<int> vertexDist;
vertexDist.resize(track_win.width*track_win.height);
ShortestPath(P_extre, adjlist, vertexDist);
cvCircle(image, P_extre, 3, CV_RGB(0, 255, 0),1);
//generate the refernce distance for comparing
if (refeFlag > 0)
{
cvCircle(image, p_win, 3, CV_RGB(0, 0, 255), 1);
int track = abs(P_transtart.x - P_track.x) + track_win.width * abs(P_transtart.y - P_track.y);
referDistance = vertexDist[track];
refeFlag = 0;
}
//samples propagation
PredictPoint(p_win);
//get geodesic distance for each sample.
//find the sample which have most similar distance to the refernce distance
float Dist, AbsDist, WinDist, minAbsDist = 10000;
int number,sum=0,count=0;
for (int i = 0; i < SAMPLE; i++)
{
int t = abs(P_transtart.x - point[i].x) + track_win.width * abs(P_transtart.y - point[i].y);
if (adjlist[t].v == false) { count++; continue; }
int refer = abs(point[i].x - P_transtart.x) + track_win.width * abs(point[i].y - P_transtart.y);
Dist = vertexDist[refer];
AbsDist = fabs(referDistance - Dist);
//point[i].SampleWeight = AbsDist;
//point[i].AccumWeight = sum;
//sum = sum + AbsDist;
if (AbsDist < minAbsDist) { AbsDist = Dist; number = i; WinDist = Dist; }
}
//for (int i = 0; i < SAMPLE; i++)
//{
// point[i].SampleWeight = point[i].SampleWeight / sum;
// point[i].AccumWeight = point[i].AccumWeight / sum;
//}
printf("referDist = %f, winDist = %f, discardPoints = %d\n", referDistance, WinDist,count);
p_win_last = p_win;
p_win.x = point[number].x;
p_win.y = point[number].y;
//samples re-location
float deltaX = p_win.x - p_win_last.x;
float deltaY = p_win.y - p_win_last.y;
UpdatePoint(number, deltaX, deltaY);
cvCircle(image, p_win, 5, CV_RGB(0, 0, 0));
}
// //****************************************************************************************************************************************
}
// if still selecting a target, show the RED selected area
else cvRectangle(image, P_org, P_end, CV_RGB(255, 0, 0), 1);
}
imshow("Depth", DepthImage);
cvShowImage("Color Probabilistic Tracking - Samples", image);
cvShowImage("Color Probabilistic Tracking - Result", result);
SafeRelease(pColorFrame);
SafeRelease(pDepthFrame);
//SafeRelease(pBodyIndexFrame);
cv::imshow("Color", colorMat);
cv::imshow("Depth", DepthImage);
cv::imshow("CoordinateMapper", coordinateMapperMat);
//END OF THE TIME POINT
t = ((double)getTickCount() - t) / getTickFrequency();
t = 1 / t;
//cout << "FPS:" << t << "FrameNumber\n" << FrameNumebr<< endl;
printf("FPS:%f Frame:%d \n\n", t, FrameNumber);
if (cv::waitKey(30) == VK_ESCAPE) {
break;
}
}
SafeRelease(pColorSource);
SafeRelease(pDepthSource);
//SafeRelease(pBodyIndexSource);
SafeRelease(pColorReader);
SafeRelease(pDepthReader);
//SafeRelease(pBodyIndexReader);
SafeRelease(pColorDescription);
SafeRelease(pDepthDescription);
SafeRelease(pCoordinateMapper);
if (pSensor) {
pSensor->Close();
}
SafeRelease(pSensor);
cv::destroyAllWindows();
cvReleaseImage(&image);
cvReleaseImage(&result);
cvReleaseImage(&histimg_ref);
cvReleaseImage(&histimg);
cvReleaseImage(&hsv);
cvReleaseImage(&hue);
cvReleaseImage(&sat);
cvDestroyWindow("Color Probabilistic Tracking - Samples");
cvDestroyWindow("Color Probabilistic Tracking - Result");
return 0;
}
int _tmain( int argc, _TCHAR* argv[] )
{
cv::setUseOptimized( true );
// Sensor
IKinectSensor* pSensor;
HRESULT hResult = S_OK;
hResult = GetDefaultKinectSensor( &pSensor );
if( FAILED( hResult ) ){
std::cerr << "Error : GetDefaultKinectSensor" << std::endl;
return -1;
}
hResult = pSensor->Open();
if( FAILED( hResult ) ){
std::cerr << "Error : IKinectSensor::Open()" << std::endl;
return -1;
}
// Source
IDepthFrameSource* pDepthSource;
hResult = pSensor->get_DepthFrameSource( &pDepthSource );
if( FAILED( hResult ) ){
std::cerr << "Error : IKinectSensor::get_DepthFrameSource()" << std::endl;
return -1;
}
// Reader
IDepthFrameReader* pDepthReader;
hResult = pDepthSource->OpenReader( &pDepthReader );
if( FAILED( hResult ) ){
std::cerr << "Error : IDepthFrameSource::OpenReader()" << std::endl;
return -1;
}
// Description
IFrameDescription* pDescription;
hResult = pDepthSource->get_FrameDescription( &pDescription );
if( FAILED( hResult ) ){
std::cerr << "Error : IDepthFrameSource::get_FrameDescription()" << std::endl;
return -1;
}
int width = 0;
int height = 0;
pDescription->get_Width( &width ); // 512
pDescription->get_Height( &height ); // 424
unsigned int bufferSize = width * height * sizeof( unsigned short );
cv::Mat bufferMat( height, width, CV_16UC1 );
cv::Mat depthMat( height, width, CV_8UC1 );
cv::namedWindow( "Depth" );
// Coordinate Mapper
ICoordinateMapper* pCoordinateMapper;
hResult = pSensor->get_CoordinateMapper( &pCoordinateMapper );
if( FAILED( hResult ) ){
std::cerr << "Error : IKinectSensor::get_CoordinateMapper()" << std::endl;
return -1;
}
// Create Reconstruction
NUI_FUSION_RECONSTRUCTION_PARAMETERS reconstructionParameter;
reconstructionParameter.voxelsPerMeter = 256;
reconstructionParameter.voxelCountX = 512;
reconstructionParameter.voxelCountY = 384;
reconstructionParameter.voxelCountZ = 512;
Matrix4 worldToCameraTransform;
SetIdentityMatrix( worldToCameraTransform );
INuiFusionReconstruction* pReconstruction;
hResult = NuiFusionCreateReconstruction( &reconstructionParameter, NUI_FUSION_RECONSTRUCTION_PROCESSOR_TYPE_AMP, -1, &worldToCameraTransform, &pReconstruction );
if( FAILED( hResult ) ){
std::cerr << "Error : NuiFusionCreateReconstruction()" << std::endl;
return -1;
}
// Create Image Frame
// Depth
NUI_FUSION_IMAGE_FRAME* pDepthFloatImageFrame;
hResult = NuiFusionCreateImageFrame( NUI_FUSION_IMAGE_TYPE_FLOAT, width, height, nullptr, &pDepthFloatImageFrame );
if( FAILED( hResult ) ){
std::cerr << "Error : NuiFusionCreateImageFrame( FLOAT )" << std::endl;
return -1;
}
// SmoothDepth
NUI_FUSION_IMAGE_FRAME* pSmoothDepthFloatImageFrame;
hResult = NuiFusionCreateImageFrame( NUI_FUSION_IMAGE_TYPE_FLOAT, width, height, nullptr, &pSmoothDepthFloatImageFrame );
if( FAILED( hResult ) ){
std::cerr << "Error : NuiFusionCreateImageFrame( FLOAT )" << std::endl;
return -1;
}
// Point Cloud
NUI_FUSION_IMAGE_FRAME* pPointCloudImageFrame;
hResult = NuiFusionCreateImageFrame( NUI_FUSION_IMAGE_TYPE_POINT_CLOUD, width, height, nullptr, &pPointCloudImageFrame );
if( FAILED( hResult ) ){
std::cerr << "Error : NuiFusionCreateImageFrame( POINT_CLOUD )" << std::endl;
return -1;
}
// Surface
NUI_FUSION_IMAGE_FRAME* pSurfaceImageFrame;
hResult = NuiFusionCreateImageFrame( NUI_FUSION_IMAGE_TYPE_COLOR, width, height, nullptr, &pSurfaceImageFrame );
if( FAILED( hResult ) ){
std::cerr << "Error : NuiFusionCreateImageFrame( COLOR )" << std::endl;
return -1;
}
// Normal
NUI_FUSION_IMAGE_FRAME* pNormalImageFrame;
hResult = NuiFusionCreateImageFrame( NUI_FUSION_IMAGE_TYPE_COLOR, width, height, nullptr, &pNormalImageFrame );
if( FAILED( hResult ) ){
std::cerr << "Error : NuiFusionCreateImageFrame( COLOR )" << std::endl;
return -1;
}
cv::namedWindow( "Surface" );
cv::namedWindow( "Normal" );
while( 1 ){
// Frame
IDepthFrame* pDepthFrame = nullptr;
hResult = pDepthReader->AcquireLatestFrame( &pDepthFrame );
if( SUCCEEDED( hResult ) ){
hResult = pDepthFrame->AccessUnderlyingBuffer( &bufferSize, reinterpret_cast<UINT16**>( &bufferMat.data ) );
if( SUCCEEDED( hResult ) ){
bufferMat.convertTo( depthMat, CV_8U, -255.0f / 8000.0f, 255.0f );
hResult = pReconstruction->DepthToDepthFloatFrame( reinterpret_cast<UINT16*>( bufferMat.data ), width * height * sizeof( UINT16 ), pDepthFloatImageFrame, NUI_FUSION_DEFAULT_MINIMUM_DEPTH/* 0.5[m] */, NUI_FUSION_DEFAULT_MAXIMUM_DEPTH/* 8.0[m] */, true );
if( FAILED( hResult ) ){
std::cerr << "Error :INuiFusionReconstruction::DepthToDepthFloatFrame()" << std::endl;
return -1;
}
}
}
SafeRelease( pDepthFrame );
// Smooting Depth Image Frame
hResult = pReconstruction->SmoothDepthFloatFrame( pDepthFloatImageFrame, pSmoothDepthFloatImageFrame, 1, 0.04f );
if( FAILED( hResult ) ){
std::cerr << "Error :INuiFusionReconstruction::SmoothDepthFloatFrame" << std::endl;
return -1;
}
// Reconstruction Process
pReconstruction->GetCurrentWorldToCameraTransform( &worldToCameraTransform );
hResult = pReconstruction->ProcessFrame( pSmoothDepthFloatImageFrame, NUI_FUSION_DEFAULT_ALIGN_ITERATION_COUNT, NUI_FUSION_DEFAULT_INTEGRATION_WEIGHT, nullptr, &worldToCameraTransform );
if( FAILED( hResult ) ){
static int errorCount = 0;
errorCount++;
if( errorCount >= 100 ) {
errorCount = 0;
ResetReconstruction( pReconstruction, &worldToCameraTransform );
}
}
// Calculate Point Cloud
hResult = pReconstruction->CalculatePointCloud( pPointCloudImageFrame, &worldToCameraTransform );
if( FAILED( hResult ) ){
std::cerr << "Error : CalculatePointCloud" << std::endl;
return -1;
}
// Shading Point Clouid
Matrix4 worldToBGRTransform = { 0.0f };
worldToBGRTransform.M11 = reconstructionParameter.voxelsPerMeter / reconstructionParameter.voxelCountX;
worldToBGRTransform.M22 = reconstructionParameter.voxelsPerMeter / reconstructionParameter.voxelCountY;
worldToBGRTransform.M33 = reconstructionParameter.voxelsPerMeter / reconstructionParameter.voxelCountZ;
worldToBGRTransform.M41 = 0.5f;
worldToBGRTransform.M42 = 0.5f;
worldToBGRTransform.M43 = 0.0f;
worldToBGRTransform.M44 = 1.0f;
hResult = NuiFusionShadePointCloud( pPointCloudImageFrame, &worldToCameraTransform, &worldToBGRTransform, pSurfaceImageFrame, pNormalImageFrame );
if( FAILED( hResult ) ){
std::cerr << "Error : NuiFusionShadePointCloud" << std::endl;
return -1;
}
cv::Mat surfaceMat( height, width, CV_8UC4, pSurfaceImageFrame->pFrameBuffer->pBits );
cv::Mat normalMat( height, width, CV_8UC4, pNormalImageFrame->pFrameBuffer->pBits );
cv::imshow( "Depth", depthMat );
cv::imshow( "Surface", surfaceMat );
cv::imshow( "Normal", normalMat );
int key = cv::waitKey( 30 );
if( key == VK_ESCAPE ){
break;
}
else if( key == 'r' ){
ResetReconstruction( pReconstruction, &worldToCameraTransform );
}
}
SafeRelease( pDepthSource );
SafeRelease( pDepthReader );
SafeRelease( pDescription );
SafeRelease( pCoordinateMapper );
SafeRelease( pReconstruction );
NuiFusionReleaseImageFrame( pDepthFloatImageFrame );
NuiFusionReleaseImageFrame( pSmoothDepthFloatImageFrame );
NuiFusionReleaseImageFrame( pPointCloudImageFrame );
NuiFusionReleaseImageFrame( pSurfaceImageFrame );
NuiFusionReleaseImageFrame( pNormalImageFrame );
if( pSensor ){
pSensor->Close();
}
SafeRelease( pSensor );
cv::destroyAllWindows();
return 0;
}
int _tmain( int argc, _TCHAR* argv[] )
{
cv::setUseOptimized( true );
// Sensor
IKinectSensor* pSensor;
HRESULT hResult = S_OK;
hResult = GetDefaultKinectSensor( &pSensor );
if( FAILED( hResult ) ){
std::cerr << "Error : GetDefaultKinectSensor" << std::endl;
return -1;
}
hResult = pSensor->Open();
if( FAILED( hResult ) ){
std::cerr << "Error : IKinectSensor::Open()" << std::endl;
return -1;
}
// Source
IColorFrameSource* pColorSource;
hResult = pSensor->get_ColorFrameSource( &pColorSource );
if( FAILED( hResult ) ){
std::cerr << "Error : IKinectSensor::get_ColorFrameSource()" << std::endl;
return -1;
}
// Reader
IColorFrameReader* pColorReader;
hResult = pColorSource->OpenReader( &pColorReader );
if( FAILED( hResult ) ){
std::cerr << "Error : IColorFrameSource::OpenReader()" << std::endl;
return -1;
}
// Description
IFrameDescription* pDescription;
hResult = pColorSource->get_FrameDescription( &pDescription );
if( FAILED( hResult ) ){
std::cerr << "Error : IColorFrameSource::get_FrameDescription()" << std::endl;
return -1;
}
int width = 0;
int height = 0;
pDescription->get_Width( &width ); // 1920
pDescription->get_Height( &height ); // 1080
unsigned int bufferSize = width * height * 4 * sizeof( unsigned char );
cv::Mat bufferMat( height, width, CV_8UC4 );
cv::Mat colorMat( height / 2, width / 2, CV_8UC4 );
cv::namedWindow( "Color" );
// Subscribe Handle
WAITABLE_HANDLE hColorWaitable;
hResult = pColorReader->SubscribeFrameArrived( &hColorWaitable );
if( FAILED( hResult ) ){
std::cerr << "Error : IColorFrameReader::SubscribeFrameArrived()" << std::endl;
return -1;
}
while( 1 ){
// Waitable Events
HANDLE hEvents[ ] = { reinterpret_cast<HANDLE>( hColorWaitable ) };
WaitForMultipleObjects( ARRAYSIZE( hEvents ), hEvents, true, INFINITE );
// Arrived Data
IColorFrameArrivedEventArgs* pColorArgs = nullptr;
hResult = pColorReader->GetFrameArrivedEventData( hColorWaitable, &pColorArgs );
if( SUCCEEDED( hResult ) ){
// Reference
IColorFrameReference* pColorReference = nullptr;
hResult = pColorArgs->get_FrameReference( &pColorReference );
if( SUCCEEDED( hResult ) ){
// Frame
IColorFrame* pColorFrame = nullptr;
hResult = pColorReference->AcquireFrame( &pColorFrame );
if( SUCCEEDED( hResult ) ){
hResult = pColorFrame->CopyConvertedFrameDataToArray( bufferSize, reinterpret_cast<BYTE*>( bufferMat.data ), ColorImageFormat::ColorImageFormat_Bgra );
if( SUCCEEDED( hResult ) ){
cv::resize( bufferMat, colorMat, cv::Size(), 0.5, 0.5 );
}
}
SafeRelease( pColorFrame );
}
SafeRelease( pColorReference );
}
SafeRelease( pColorArgs );
cv::imshow( "Color", colorMat );
if( cv::waitKey( 30 ) == VK_ESCAPE ){
break;
}
}
SafeRelease( pColorSource );
SafeRelease( pColorReader, hColorWaitable );
SafeRelease( pDescription );
if( pSensor ){
pSensor->Close();
}
SafeRelease( pSensor );
cv::destroyAllWindows();
return 0;
}
int _tmain( int argc, _TCHAR* argv[] )
{
cv::setUseOptimized( true );
// Sensor
IKinectSensor* pSensor;
HRESULT hResult = S_OK;
hResult = GetDefaultKinectSensor( &pSensor );
if( FAILED( hResult ) ){
std::cerr << "Error : GetDefaultKinectSensor" << std::endl;
return -1;
}
hResult = pSensor->Open();
if( FAILED( hResult ) ){
std::cerr << "Error : IKinectSensor::Open()" << std::endl;
return -1;
}
// Source
IBodyIndexFrameSource* pBodyIndexSource;
hResult = pSensor->get_BodyIndexFrameSource( &pBodyIndexSource );
if( FAILED( hResult ) ){
std::cerr << "Error : IKinectSensor::get_BodyIndexFrameSource()" << std::endl;
return -1;
}
// Reader
IBodyIndexFrameReader* pBodyIndexReader;
hResult = pBodyIndexSource->OpenReader( &pBodyIndexReader );
if( FAILED( hResult ) ){
std::cerr << "Error : IBodyIndexFrameSource::OpenReader()" << std::endl;
return -1;
}
// Description
IFrameDescription* pDescription;
hResult = pBodyIndexSource->get_FrameDescription( &pDescription );
if( FAILED( hResult ) ){
std::cerr << "Error : IBodyIndexFrameSource::get_FrameDescription()" << std::endl;
return -1;
}
int width = 0;
int height = 0;
pDescription->get_Width( &width ); // 512
pDescription->get_Height( &height ); // 424
cv::Mat bodyIndexMat( height, width, CV_8UC3 );
cv::namedWindow( "BodyIndex" );
// Color Table
cv::Vec3b color[BODY_COUNT];
color[0] = cv::Vec3b( 255, 0, 0 );
color[1] = cv::Vec3b( 0, 255, 0 );
color[2] = cv::Vec3b( 0, 0, 255 );
color[3] = cv::Vec3b( 255, 255, 0 );
color[4] = cv::Vec3b( 255, 0, 255 );
color[5] = cv::Vec3b( 0, 255, 255 );
while( 1 ){
// Frame
IBodyIndexFrame* pBodyIndexFrame = nullptr;
hResult = pBodyIndexReader->AcquireLatestFrame( &pBodyIndexFrame );
if( SUCCEEDED( hResult ) ){
unsigned int bufferSize = 0;
unsigned char* buffer = nullptr;
hResult = pBodyIndexFrame->AccessUnderlyingBuffer( &bufferSize, &buffer );
if( SUCCEEDED( hResult ) ){
for( int y = 0; y < height; y++ ){
for( int x = 0; x < width; x++ ){
unsigned int index = y * width + x;
if( buffer[index] != 0xff ){
bodyIndexMat.at<cv::Vec3b>( y, x ) = color[buffer[index]];
}
else{
bodyIndexMat.at<cv::Vec3b>( y, x ) = cv::Vec3b( 0, 0, 0 );
}
}
}
}
}
SafeRelease( pBodyIndexFrame );
cv::imshow( "BodyIndex", bodyIndexMat );
if( cv::waitKey( 30 ) == VK_ESCAPE ){
break;
}
}
SafeRelease( pBodyIndexSource );
SafeRelease( pBodyIndexReader );
SafeRelease( pDescription );
if( pSensor ){
pSensor->Close();
}
SafeRelease( pSensor );
cv::destroyAllWindows();
return 0;
}
int main(int argc, char** argv) {
// 1a. Get default Sensor
std::cout << "Try to get default sensor" << std::endl;
IKinectSensor* pSensor = nullptr;
if (GetDefaultKinectSensor(&pSensor) != S_OK) {
cerr << "Get Sensor failed" << std::endl;
return -1;
}
// 1b. Open sensor
std::cout << "Try to open sensor" << std::endl;
if (pSensor->Open() != S_OK) {
cerr << "Can't open sensor" << std::endl;
return -1;
}
// 2. Color Related code
IColorFrameReader* pColorFrameReader = nullptr;
cv::Mat mColorImg;
UINT uBufferSize = 0;
{
// 2a. Get color frame source
std::cout << "Try to get color source" << std::endl;
IColorFrameSource* pFrameSource = nullptr;
if (pSensor->get_ColorFrameSource(&pFrameSource) != S_OK) {
cerr << "Can't get color frame source" << std::endl;
return -1;
}
// 2b. Get frame description
std::cout << "get color frame description" << std::endl;
int iWidth = 0;
int iHeight = 0;
IFrameDescription* pFrameDescription = nullptr;
if (pFrameSource->get_FrameDescription(&pFrameDescription) == S_OK) {
pFrameDescription->get_Width(&iWidth);
pFrameDescription->get_Height(&iHeight);
}
pFrameDescription->Release();
pFrameDescription = nullptr;
// 2c. get frame reader
std::cout << "Try to get color frame reader" << std::endl;
if (pFrameSource->OpenReader(&pColorFrameReader) != S_OK) {
cerr << "Can't get color frame reader" << std::endl;
return -1;
}
// 2d. release Frame source
std::cout << "Release frame source" << std::endl;
pFrameSource->Release();
pFrameSource = nullptr;
// Prepare OpenCV data
mColorImg = cv::Mat(iHeight, iWidth, CV_8UC4);
uBufferSize = iHeight * iWidth * 4 * sizeof(BYTE);
}
// 3. Body related code
IBodyFrameReader* pBodyFrameReader = nullptr;
IBody** aBodyData = nullptr;
INT32 iBodyCount = 0;
{
// 3a. Get frame source
std::cout << "Try to get body source" << std::endl;
IBodyFrameSource* pFrameSource = nullptr;
if (pSensor->get_BodyFrameSource(&pFrameSource) != S_OK) {
cerr << "Can't get body frame source" << std::endl;
return -1;
}
// 3b. Get the number of body
if (pFrameSource->get_BodyCount(&iBodyCount) != S_OK) {
cerr << "Can't get body count" << std::endl;
return -1;
}
std::cout << " > Can trace " << iBodyCount << " bodies" << std::endl;
aBodyData = new IBody*[iBodyCount];
for (int i = 0; i < iBodyCount; ++i)
aBodyData[i] = nullptr;
// 3c. get frame reader
std::cout << "Try to get body frame reader" << std::endl;
if (pFrameSource->OpenReader(&pBodyFrameReader) != S_OK) {
cerr << "Can't get body frame reader" << std::endl;
return -1;
}
// 3d. release Frame source
std::cout << "Release frame source" << std::endl;
pFrameSource->Release();
pFrameSource = nullptr;
}
// 4. get CoordinateMapper
ICoordinateMapper* pCoordinateMapper = nullptr;
if (pSensor->get_CoordinateMapper(&pCoordinateMapper) != S_OK) {
std::cout << "Can't get coordinate mapper" << std::endl;
return -1;
}
// Enter main loop
cv::namedWindow("Body Image");
// Debug:output the velocity of joints
ofstream current_average_velocityTXT("current_average_velocity.txt");
ofstream average_velocityTXT("average_velocity.txt");
int frame_count = 0;
int frame_count_for_standby = 0;
float positionX0[25] = {0};
float positionX1[25] = {0};
float positionY0[25] = { 0 };
float positionY1[25] = { 0 };
float positionZ0[25] = { 0 };
float positionZ1[25] = { 0 };
float velocityX[25] = { 0 };
float velocityY[25] = { 0 };
float velocityZ[25] = { 0 };
float current_velocity[25] = { 0 };
float velocityee[8] = { 0 };
float current_total_velocity = 0;
float current_average_velocity = 0;
float total_velocity = 0;
float average_velocity = 0;
while (true)
{
// 4a. Get last frame
IColorFrame* pColorFrame = nullptr;
if (pColorFrameReader->AcquireLatestFrame(&pColorFrame) == S_OK) {
// 4c. Copy to OpenCV image
if (pColorFrame->CopyConvertedFrameDataToArray(uBufferSize, mColorImg.data, ColorImageFormat_Bgra) != S_OK) {
cerr << "Data copy error" << endl;
}
// 4e. release frame
pColorFrame->Release();
}
cv::Mat mImg = mColorImg.clone();
// 4b. Get body data
IBodyFrame* pBodyFrame = nullptr;
if (pBodyFrameReader->AcquireLatestFrame(&pBodyFrame) == S_OK) {
// 4b. get Body data
if (pBodyFrame->GetAndRefreshBodyData(iBodyCount, aBodyData) == S_OK) {
// 4c. for each body
for (int i = 0; i < iBodyCount; ++i) {
IBody* pBody = aBodyData[i];
// check if is tracked
BOOLEAN bTracked = false;
if ((pBody->get_IsTracked(&bTracked) == S_OK) && bTracked) {
// get joint position
Joint aJoints[JointType::JointType_Count];
if (pBody->GetJoints(JointType::JointType_Count, aJoints) == S_OK) {
DrawLine(mImg, aJoints[JointType_SpineBase], aJoints[JointType_SpineMid], pCoordinateMapper);
DrawLine(mImg, aJoints[JointType_SpineMid], aJoints[JointType_SpineShoulder], pCoordinateMapper);
DrawLine(mImg, aJoints[JointType_SpineShoulder], aJoints[JointType_Neck], pCoordinateMapper);
DrawLine(mImg, aJoints[JointType_Neck], aJoints[JointType_Head], pCoordinateMapper);
DrawLine(mImg, aJoints[JointType_SpineShoulder], aJoints[JointType_ShoulderLeft], pCoordinateMapper);
DrawLine(mImg, aJoints[JointType_ShoulderLeft], aJoints[JointType_ElbowLeft], pCoordinateMapper);
DrawLine(mImg, aJoints[JointType_ElbowLeft], aJoints[JointType_WristLeft], pCoordinateMapper);
DrawLine(mImg, aJoints[JointType_WristLeft], aJoints[JointType_HandLeft], pCoordinateMapper);
DrawLine(mImg, aJoints[JointType_HandLeft], aJoints[JointType_HandTipLeft], pCoordinateMapper);
DrawLine(mImg, aJoints[JointType_HandLeft], aJoints[JointType_ThumbLeft], pCoordinateMapper);
DrawLine(mImg, aJoints[JointType_SpineShoulder], aJoints[JointType_ShoulderRight], pCoordinateMapper);
DrawLine(mImg, aJoints[JointType_ShoulderRight], aJoints[JointType_ElbowRight], pCoordinateMapper);
DrawLine(mImg, aJoints[JointType_ElbowRight], aJoints[JointType_WristRight], pCoordinateMapper);
DrawLine(mImg, aJoints[JointType_WristRight], aJoints[JointType_HandRight], pCoordinateMapper);
DrawLine(mImg, aJoints[JointType_HandRight], aJoints[JointType_HandTipRight], pCoordinateMapper);
DrawLine(mImg, aJoints[JointType_HandRight], aJoints[JointType_ThumbRight], pCoordinateMapper);
DrawLine(mImg, aJoints[JointType_SpineBase], aJoints[JointType_HipLeft], pCoordinateMapper);
DrawLine(mImg, aJoints[JointType_HipLeft], aJoints[JointType_KneeLeft], pCoordinateMapper);
DrawLine(mImg, aJoints[JointType_KneeLeft], aJoints[JointType_AnkleLeft], pCoordinateMapper);
DrawLine(mImg, aJoints[JointType_AnkleLeft], aJoints[JointType_FootLeft], pCoordinateMapper);
DrawLine(mImg, aJoints[JointType_SpineBase], aJoints[JointType_HipRight], pCoordinateMapper);
DrawLine(mImg, aJoints[JointType_HipRight], aJoints[JointType_KneeRight], pCoordinateMapper);
DrawLine(mImg, aJoints[JointType_KneeRight], aJoints[JointType_AnkleRight], pCoordinateMapper);
DrawLine(mImg, aJoints[JointType_AnkleRight], aJoints[JointType_FootRight], pCoordinateMapper);
}
// Debug:print out the number of frame
std::cout << "frame " << ++frame_count << std::endl;
for (int j = 1; j < 8; j++) {
velocityee[j] = velocityee[j-1];
total_velocity += velocityee[j];
}
average_velocity = total_velocity / 8.0;
if (average_velocity <= 0.0015) {
// determine if the person is still
if (frame_count_for_standby == 0) {
PlaySound(TEXT("Alarm02.wav"), NULL, SND_FILENAME);
std::cout << "Start capturing points!" << std::endl;
}
// count the number of frame whose velocity is below the threshold
frame_count_for_standby++;
if (frame_count_for_standby >= 5) {
frame_count_for_standby = 0;
}
}
// Debug:output the average velocity
average_velocityTXT << frame_count << " " << average_velocity << std::endl;
total_velocity = 0;
// Update the average velocity
int available_joints = 0;
for (int i = 0; i < 25; i++) {
// X
positionX1[i] = positionX0[i];
positionX0[i] = aJoints[i].Position.X;
velocityX[i] = (positionX1[i] - positionX0[i]) * (positionX1[i] - positionX0[i]);
// Y
positionY1[i] = positionY0[i];
positionY0[i] = aJoints[i].Position.Y;
velocityY[i] = (positionY1[i] - positionY0[i]) * (positionY1[i] - positionY0[i]);
// Z
positionZ1[i] = positionZ0[i];
positionZ0[i] = aJoints[i].Position.Z;
velocityZ[i] = (positionZ1[i] - positionZ0[i]) * (positionZ1[i] - positionZ0[i]);
current_velocity[i] = sqrtf(velocityX[i] + velocityY[i] + velocityZ[i]);
// exclude the discrete velocity
if (current_velocity[i] < 0.01) {
current_total_velocity += current_velocity[i];
available_joints++;
}
}
// If no joint is available, save the velocity of last frame
if (available_joints != 0) {
current_average_velocity = current_total_velocity / available_joints;
}
velocityee[0] = current_average_velocity;
// Debug:output the current average velocity
current_average_velocityTXT << frame_count << " " << current_average_velocity << std::endl;
current_total_velocity = 0;
}
}
} else {
cerr << "Can't read body data" << endl;
}
// 4e. release frame
pBodyFrame->Release();
}
// show image
cv::imshow("Body Image",mImg);
// 4c. check keyboard input
if (cv::waitKey(30) == VK_ESCAPE) {
break;
}
}
// 3. delete body data array
delete[] aBodyData;
// 3. release frame reader
std::cout << "Release body frame reader" << std::endl;
pBodyFrameReader->Release();
pBodyFrameReader = nullptr;
// 2. release color frame reader
std::cout << "Release color frame reader" << std::endl;
pColorFrameReader->Release();
pColorFrameReader = nullptr;
// 1c. Close Sensor
std::cout << "close sensor" << std::endl;
pSensor->Close();
// 1d. Release Sensor
std::cout << "Release sensor" << std::endl;
pSensor->Release();
pSensor = nullptr;
return 0;
}
int main()
{
printf("Hello, Wellcome to kinect world!\n");
IKinectSensor* bb; //申请一个Sensor指针
HRESULT hr = GetDefaultKinectSensor(&bb); // 获取一个默认的Sensor
if ( FAILED(hr) )
{
printf("No Kinect connect to your pc!\n");
goto endstop;
}
BOOLEAN bIsOpen = 0;
bb->get_IsOpen(&bIsOpen); // 查看下是否已经打开
printf("bIsOpen： %d\n", bIsOpen);
if ( !bIsOpen ) // 没打开，则尝试打开
{
hr = bb->Open();
if ( FAILED(hr) )
{
printf("Kinect Open Failed!\n");
goto endstop;
}
printf("Kinect opened! But it need sometime to work!\n");
// 这里一定要多等会，否则下面的判断都是错误的
printf("Wait For 3000 ms...\n");
Sleep(3000);
}
bIsOpen = 0;
bb->get_IsOpen(&bIsOpen); // 是否已经打开
printf("bIsOpen： %d\n", bIsOpen);
BOOLEAN bAvaliable = 0;
bb->get_IsAvailable(&bAvaliable); // 是否可用
printf("bAvaliable： %d\n", bAvaliable);
DWORD dwCapability = 0;
bb->get_KinectCapabilities(&dwCapability); // 获取容量
printf("dwCapability： %d\n", dwCapability);
WCHAR bbuid[256] = { 0 };
bb->get_UniqueKinectId(256, bbuid); // 获取唯一ID
printf("UID: %s\n",bbuid);
// 音频数据获取
// 获取身体数据
IBodyFrameSource* bodys = nullptr;
bb->get_BodyFrameSource(&bodys); // Body 数据源
INT32 nBodyNum = 0;
bodys->get_BodyCount(&nBodyNum); // 获取body 个数，没用，一直是6
printf("Body Num: %d\n", nBodyNum);
IBodyFrameReader* bodyr = nullptr;
bodys->OpenReader(&bodyr); // 准备读取body数据
while (true)
{
IBodyFrame* bodyf = nullptr;
bodyr->AcquireLatestFrame(&bodyf); // 获取最近的一帧数据
if ( !bodyf )
{
Sleep(100);
printf(".");
continue;
}
IBody* ppBodies[BODY_COUNT] = { 0 };
bodyf->GetAndRefreshBodyData(BODY_COUNT, ppBodies); // 更新所有人身体数据
for (int i = 0; i < BODY_COUNT; ++i)
{
IBody* pBody = ppBodies[i]; // 轮询每个人的信息
if (pBody)
{
BOOLEAN bTracked = false;
hr = pBody->get_IsTracked(&bTracked); // 检测是否被跟踪，即是否有这个人
if (bTracked)
{
Joint joints[JointType_Count];
HandState leftHandState = HandState_Unknown;
HandState rightHandState = HandState_Unknown;
pBody->get_HandLeftState(&leftHandState); // 获取左手的状态
pBody->get_HandRightState(&rightHandState); // 获取右手的状态
hr = pBody->GetJoints(_countof(joints), joints); // 获取身体的骨骼信息，25点
printf("Person %d : Joints[0].Z %.2f\n", i, joints[0].Position.X); //简单的输出他的信息
}
}
}
for (int i = 0; i < BODY_COUNT; ++i)
{
ppBodies[i]->Release();
}
bodyf->Release();
}
endclose:
bb->Close();
endstop:
system("pause");
return 0;
}
int main(int argc, char **argv)
{
std::cout << "Hello World." << std::endl;
cv::setUseOptimized( true );
// Sensor
IKinectSensor* pSensor;
HRESULT hResult = S_OK;
hResult = GetDefaultKinectSensor( &pSensor );
if( FAILED( hResult ) ){
std::cerr << "Error : GetDefaultKinectSensor" << std::endl;
return -1;
}
hResult = pSensor->Open();
if( FAILED( hResult ) ){
std::cerr << "Error : IKinectSensor::Open()" << std::endl;
return -1;
}
// Source
IColorFrameSource* pColorSource;
hResult = pSensor->get_ColorFrameSource( &pColorSource );
if( FAILED( hResult ) ){
std::cerr << "Error : IKinectSensor::get_ColorFrameSource()" << std::endl;
return -1;
}
// Reader
IColorFrameReader* pColorReader;
hResult = pColorSource->OpenReader( &pColorReader );
if( FAILED( hResult ) ){
std::cerr << "Error : IColorFrameSource::OpenReader()" << std::endl;
return -1;
}
// Description
IFrameDescription* pDescription;
hResult = pColorSource->get_FrameDescription( &pDescription );
if( FAILED( hResult ) ){
std::cerr << "Error : IColorFrameSource::get_FrameDescription()" << std::endl;
return -1;
}
int width = 0;
int height = 0;
pDescription->get_Width( &width ); // 1920
pDescription->get_Height( &height ); // 1080
unsigned int bufferSize = width * height * 4 * sizeof( unsigned char );
cv::Mat bufferMat( height, width, CV_8UC4 );
cv::Mat colorMat( height / 2, width / 2, CV_8UC4 );
cv::namedWindow( "Color" );
while( 1 ){
// Frame
IColorFrame* pColorFrame = nullptr;
hResult = pColorReader->AcquireLatestFrame( &pColorFrame );
if( SUCCEEDED( hResult ) ){
hResult = pColorFrame->CopyConvertedFrameDataToArray( bufferSize, reinterpret_cast<BYTE*>( bufferMat.data ), ColorImageFormat::ColorImageFormat_Bgra );
if( SUCCEEDED( hResult ) ){
cv::resize( bufferMat, colorMat, cv::Size(), 0.5, 0.5 );
}
}
SafeRelease( &pColorFrame );
cv::imshow( "Color", colorMat );
if( cv::waitKey( 30 ) == VK_ESCAPE ){
break;
}
}
SafeRelease( &pColorSource );
SafeRelease( &pColorReader );
SafeRelease( &pDescription );
if( pSensor ){
pSensor->Close();
}
SafeRelease( &pSensor );
cv::destroyAllWindows();
return 0;
return 0;
}
int _tmain( int argc, _TCHAR* argv[] )
{
cv::setUseOptimized( true );
// Sensor
IKinectSensor* pSensor;
HRESULT hResult = S_OK;
hResult = GetDefaultKinectSensor( &pSensor );
if( FAILED( hResult ) ){
std::cerr << "Error : GetDefaultKinectSensor" << std::endl;
return -1;
}
hResult = pSensor->Open();
if( FAILED( hResult ) ){
std::cerr << "Error : IKinectSensor::Open()" << std::endl;
return -1;
}
// Source
IDepthFrameSource* pDepthSource;
hResult = pSensor->get_DepthFrameSource( &pDepthSource );
if( FAILED( hResult ) ){
std::cerr << "Error : IKinectSensor::get_DepthFrameSource()" << std::endl;
return -1;
}
// Reader
IDepthFrameReader* pDepthReader;
hResult = pDepthSource->OpenReader( &pDepthReader );
if( FAILED( hResult ) ){
std::cerr << "Error : IDepthFrameSource::OpenReader()" << std::endl;
return -1;
}
// Description
IFrameDescription* pDescription;
hResult = pDepthSource->get_FrameDescription( &pDescription );
if( FAILED( hResult ) ){
std::cerr << "Error : IDepthFrameSource::get_FrameDescription()" << std::endl;
return -1;
}
int width = 0;
int height = 0;
pDescription->get_Width( &width ); // 512
pDescription->get_Height( &height ); // 424
unsigned int bufferSize = width * height * sizeof( unsigned short );
cv::Mat bufferMat( height, width, CV_16SC1 );
cv::Mat depthMat( height, width, CV_8UC1 );
cv::namedWindow( "Depth" );
while( 1 ){
// Frame
IDepthFrame* pDepthFrame = nullptr;
hResult = pDepthReader->AcquireLatestFrame( &pDepthFrame );
if( SUCCEEDED( hResult ) ){
hResult = pDepthFrame->AccessUnderlyingBuffer( &bufferSize, reinterpret_cast<UINT16**>( &bufferMat.data ) );
if( SUCCEEDED( hResult ) ){
bufferMat.convertTo( depthMat, CV_8U, -255.0f / 4500.0f, 255.0f );
}
}
SafeRelease( pDepthFrame );
cv::imshow( "Depth", depthMat );
if( cv::waitKey( 30 ) == VK_ESCAPE ){
break;
}
}
SafeRelease( pDepthSource );
SafeRelease( pDepthReader );
SafeRelease( pDescription );
if( pSensor ){
pSensor->Close();
}
SafeRelease( pSensor );
cv::destroyAllWindows();
return 0;
}
int main(int argc, char** argv)
{
int first_time = 0;
Size screen_size(1440, 900);//the dst image size,e.g.100x100
Scalar text_color = Scalar(0, 255, 0);
Scalar text_color2 = Scalar(0, 255, 255);
Scalar text_color3 = Scalar(0, 0, 255);
inhaler_coach coach;
coach.control = 0;
thread mThread(test_func, &coach);
// 1a. Get Kinect Sensor
cout << "Try to get default sensor" << endl;
IKinectSensor* pSensor = nullptr;
if (GetDefaultKinectSensor(&pSensor) != S_OK)
{
cerr << "Get Sensor failed" << endl;
return -1;
}
// 1b. Open sensor
cout << "Try to open sensor" << endl;
if (pSensor->Open() != S_OK)
{
cerr << "Can't open sensor" << endl;
return -1;
}
// 2. Color Related code
IColorFrameReader* pColorFrameReader = nullptr;
cv::Mat mColorImg;
UINT uBufferSize = 0;
UINT uColorPointNum = 0;
int iWidth = 0;
int iHeight = 0;
{
// 2a. Get color frame source
cout << "Try to get color source" << endl;
IColorFrameSource* pFrameSource = nullptr;
if (pSensor->get_ColorFrameSource(&pFrameSource) != S_OK)
{
cerr << "Can't get color frame source" << endl;
return -1;
}
// 2b. Get frame description
cout << "get color frame description" << endl;
IFrameDescription* pFrameDescription = nullptr;
if (pFrameSource->get_FrameDescription(&pFrameDescription) == S_OK)
{
pFrameDescription->get_Width(&iWidth);
pFrameDescription->get_Height(&iHeight);
}
pFrameDescription->Release();
pFrameDescription = nullptr;
// 2c. get frame reader
cout << "Try to get color frame reader" << endl;
if (pFrameSource->OpenReader(&pColorFrameReader) != S_OK)
{
cerr << "Can't get color frame reader" << endl;
return -1;
}
// 2d. release Frame source
cout << "Release frame source" << endl;
pFrameSource->Release();
pFrameSource = nullptr;
// Prepare OpenCV data
mColorImg = cv::Mat(iHeight, iWidth, CV_8UC4);
uBufferSize = iHeight * iWidth * 4 * sizeof(BYTE);
uColorPointNum = iHeight * iWidth;
}
// 3. Depth related code
IDepthFrameReader* pDepthFrameReader = nullptr;
UINT uDepthPointNum = 0;
int iDepthWidth = 0, iDepthHeight = 0;
cout << "Try to get depth source" << endl;
{
// Get frame source
IDepthFrameSource* pFrameSource = nullptr;
if (pSensor->get_DepthFrameSource(&pFrameSource) != S_OK)
{
cerr << "Can't get depth frame source" << endl;
return -1;
}
// Get frame description
cout << "get depth frame description" << endl;
IFrameDescription* pFrameDescription = nullptr;
if (pFrameSource->get_FrameDescription(&pFrameDescription) == S_OK)
{
pFrameDescription->get_Width(&iDepthWidth);
pFrameDescription->get_Height(&iDepthHeight);
uDepthPointNum = iDepthWidth * iDepthHeight;
}
pFrameDescription->Release();
pFrameDescription = nullptr;
// get frame reader
cout << "Try to get depth frame reader" << endl;
if (pFrameSource->OpenReader(&pDepthFrameReader) != S_OK)
{
cerr << "Can't get depth frame reader" << endl;
return -1;
}
// release Frame source
cout << "Release frame source" << endl;
pFrameSource->Release();
pFrameSource = nullptr;
}
// 4. Body related code
IBodyFrameReader* pBodyFrameReader = nullptr;
IBody** aBodyData = nullptr;
INT32 iBodyCount = 0;
{
// 3a. Get frame source
cout << "Try to get body source" << endl;
IBodyFrameSource* pFrameSource = nullptr;
if (pSensor->get_BodyFrameSource(&pFrameSource) != S_OK)
{
cerr << "Can't get body frame source" << endl;
return -1;
}
// 3b. Get the number of body
if (pFrameSource->get_BodyCount(&iBodyCount) != S_OK)
{
cerr << "Can't get body count" << endl;
return -1;
}
cout << " > Can trace " << iBodyCount << " bodies" << endl;
aBodyData = new IBody*[iBodyCount];
for (int i = 0; i < iBodyCount; ++i)
aBodyData[i] = nullptr;
// 3c. get frame reader
cout << "Try to get body frame reader" << endl;
if (pFrameSource->OpenReader(&pBodyFrameReader) != S_OK)
{
cerr << "Can't get body frame reader" << endl;
return -1;
}
// 3d. release Frame source
cout << "Release frame source" << endl;
pFrameSource->Release();
pFrameSource = nullptr;
}
// 4. Body Index releated code
IBodyIndexFrameReader* pBIFrameReader = nullptr;
cout << "Try to get body index source" << endl;
{
// Get frame source
IBodyIndexFrameSource* pFrameSource = nullptr;
if (pSensor->get_BodyIndexFrameSource(&pFrameSource) != S_OK)
{
cerr << "Can't get body index frame source" << endl;
return -1;
}
// get frame reader
cout << "Try to get body index frame reader" << endl;
if (pFrameSource->OpenReader(&pBIFrameReader) != S_OK)
{
cerr << "Can't get depth frame reader" << endl;
return -1;
}
// release Frame source
cout << "Release frame source" << endl;
pFrameSource->Release();
pFrameSource = nullptr;
}
// 5. background
cv::Mat imgBG(iHeight, iWidth, CV_8UC3);
imgBG.setTo(0);
// 4. get CoordinateMapper
ICoordinateMapper* pCoordinateMapper = nullptr;
if (pSensor->get_CoordinateMapper(&pCoordinateMapper) != S_OK)
{
cout << "Can't get coordinate mapper" << endl;
return -1;
}
// Enter main loop
UINT16* pDepthPoints = new UINT16[uDepthPointNum];
BYTE* pBodyIndex = new BYTE[uDepthPointNum];
DepthSpacePoint* pPointArray = new DepthSpacePoint[uColorPointNum];
cv::namedWindow("Inhaler Coach");
while (true)
{
// 4a. Get last frame
IColorFrame* pColorFrame = nullptr;
if (pColorFrameReader->AcquireLatestFrame(&pColorFrame) == S_OK)
{
pColorFrame->CopyConvertedFrameDataToArray(uBufferSize, mColorImg.data, ColorImageFormat_Bgra);
pColorFrame->Release();
pColorFrame = nullptr;
}
cv::Mat mImg = mColorImg.clone();
// 8b. read depth frame
IDepthFrame* pDepthFrame = nullptr;
if (pDepthFrameReader->AcquireLatestFrame(&pDepthFrame) == S_OK)
{
pDepthFrame->CopyFrameDataToArray(uDepthPointNum, pDepthPoints);
pDepthFrame->Release();
pDepthFrame = nullptr;
}
// 8c. read body index frame
IBodyIndexFrame* pBIFrame = nullptr;
if (pBIFrameReader->AcquireLatestFrame(&pBIFrame) == S_OK)
{
pBIFrame->CopyFrameDataToArray(uDepthPointNum, pBodyIndex);
pBIFrame->Release();
pBIFrame = nullptr;
}
#ifdef COACH_DEBUG
cv::Mat imgTarget = imgBG.clone();
// 9b. map color to depth
if (pCoordinateMapper->MapColorFrameToDepthSpace(uDepthPointNum, pDepthPoints, uColorPointNum, pPointArray) == S_OK)
{
for (int y = 0; y < imgTarget.rows; ++y)
{
for (int x = 0; x < imgTarget.cols; ++x)
{
// ( x, y ) in color frame = rPoint in depth frame
const DepthSpacePoint& rPoint = pPointArray[y * imgTarget.cols + x];
// check if rPoint is in range
if (rPoint.X >= 0 && rPoint.X < iDepthWidth && rPoint.Y >= 0 && rPoint.Y < iDepthHeight)
{
// fill color from color frame if this pixel is user
int iIdx = (int)rPoint.X + iDepthWidth * (int)rPoint.Y;
if (pBodyIndex[iIdx] < 6)
{
cv::Vec4b& rPixel = mImg.at<cv::Vec4b>(y, x);
imgTarget.at<cv::Vec3b>(y, x) = cv::Vec3b(rPixel[0], rPixel[1], rPixel[2]);
}
}
}
}
}
#else
cv::Mat imgTarget = mImg.clone();
#endif
// 4b. Get body data
IBodyFrame* pBodyFrame = nullptr;
if (pBodyFrameReader->AcquireLatestFrame(&pBodyFrame) == S_OK)
{
// 4b. get Body data
if (pBodyFrame->GetAndRefreshBodyData(iBodyCount, aBodyData) == S_OK)
{
// 4c. for each body
for (int i = 0; i < iBodyCount; ++i)
{
IBody* pBody = aBodyData[i];
// check if is tracked
BOOLEAN bTracked = false;
if ((pBody->get_IsTracked(&bTracked) == S_OK) && bTracked)
{
// get joint position
Joint aJoints[JointType::JointType_Count];
if (pBody->GetJoints(JointType::JointType_Count, aJoints) == S_OK)
{
if (coach.state == 0){
coach.state = 1;
if (first_time == 0){
first_time = 1;
PlaySound(TEXT("welcome.wav"), NULL, SND_FILENAME);
}
}
#ifdef COACH_DEBUG
DrawLine(imgTarget, aJoints[JointType_SpineBase], aJoints[JointType_SpineMid], pCoordinateMapper);
DrawLine(imgTarget, aJoints[JointType_SpineMid], aJoints[JointType_SpineShoulder], pCoordinateMapper);
DrawLine(imgTarget, aJoints[JointType_SpineShoulder], aJoints[JointType_Neck], pCoordinateMapper);
DrawLine(imgTarget, aJoints[JointType_Neck], aJoints[JointType_Head], pCoordinateMapper);
DrawLine(imgTarget, aJoints[JointType_SpineShoulder], aJoints[JointType_ShoulderLeft], pCoordinateMapper);
DrawLine(imgTarget, aJoints[JointType_ShoulderLeft], aJoints[JointType_ElbowLeft], pCoordinateMapper);
DrawLine(imgTarget, aJoints[JointType_ElbowLeft], aJoints[JointType_WristLeft], pCoordinateMapper);
DrawLine(imgTarget, aJoints[JointType_WristLeft], aJoints[JointType_HandLeft], pCoordinateMapper);
DrawLine(imgTarget, aJoints[JointType_HandLeft], aJoints[JointType_HandTipLeft], pCoordinateMapper);
//DrawLine(imgTarget, aJoints[JointType_HandLeft], aJoints[JointType_ThumbLeft], pCoordinateMapper);
DrawLine(imgTarget, aJoints[JointType_SpineShoulder], aJoints[JointType_ShoulderRight], pCoordinateMapper);
DrawLine(imgTarget, aJoints[JointType_ShoulderRight], aJoints[JointType_ElbowRight], pCoordinateMapper);
DrawLine(imgTarget, aJoints[JointType_ElbowRight], aJoints[JointType_WristRight], pCoordinateMapper);
DrawLine(imgTarget, aJoints[JointType_WristRight], aJoints[JointType_HandRight], pCoordinateMapper);
DrawLine(imgTarget, aJoints[JointType_HandRight], aJoints[JointType_HandTipRight], pCoordinateMapper);
//DrawLine(imgTarget, aJoints[JointType_HandRight], aJoints[JointType_ThumbRight], pCoordinateMapper);
#endif
ColorSpacePoint q;
ColorSpacePoint head;
//ColorSpacePoint w;
pCoordinateMapper->MapCameraPointToColorSpace(aJoints[JointType_Head].Position, &head);
// check shaking
coach.shaking_detection(aJoints, pCoordinateMapper);
q = coach.position_checking(aJoints, pCoordinateMapper);
#ifdef COACH_DEBUG
circle(imgTarget, cv::Point(q.X, q.Y), 10, Scalar(0, 255, 255), 10, 8, 0);
//circle(imgTarget, cv::Point(q.X, q.Y), 10, Scalar(0, 255, 255), 10, 8, 0);
rectangle(imgTarget, Point(head.X - 50, head.Y - 40), Point(head.X + 50, head.Y + 90), Scalar(0, 255, 255), 1, 8, 0);
//circle(imgTarget, cv::Point(w.X, w.Y), 10, Scalar(255, 0, 255), 10, 8, 0);
#endif
coach.state_change_rule();
}
}
}
}
else
{
cerr << "Can't read body data" << endl;
}
// 4e. release frame
pBodyFrame->Release();
}
switch (coach.state){
case 0: putText(imgTarget, "CMU Inhaler Coaching System", Point(120, 120), FONT_HERSHEY_DUPLEX, 2, text_color); break;
case 1: putText(imgTarget, "Please shake the inhaler", Point(20, 120), FONT_HERSHEY_DUPLEX, 2, text_color2); break;
case 2: putText(imgTarget, "Shaking detected", Point(20, 120), FONT_HERSHEY_DUPLEX, 2, text_color2); break;
case 3: putText(imgTarget, "Please put the inhaler in front of your mouth", Point(20, 120), FONT_HERSHEY_DUPLEX, 2, text_color2); break;
case 4: putText(imgTarget, "Position check OK", Point(20, 120), FONT_HERSHEY_DUPLEX, 2, text_color2); break;
case 5: putText(imgTarget, "You forget to shake the inhaler first!!!", Point(20, 120), FONT_HERSHEY_DUPLEX, 2, text_color3); break;
}
// show image
Mat dst;
resize(imgTarget, dst, screen_size);
imshow("Coach", dst);
// 4c. check keyboard input
if (cv::waitKey(30) == VK_ESCAPE){
break;
}
}
mThread.join();
// 3. delete body data array
delete[] aBodyData;
// 3. release frame reader
cout << "Release body frame reader" << endl;
pBodyFrameReader->Release();
pBodyFrameReader = nullptr;
// 2. release color frame reader
cout << "Release color frame reader" << endl;
pColorFrameReader->Release();
pColorFrameReader = nullptr;
// 1c. Close Sensor
cout << "close sensor" << endl;
pSensor->Close();
// 1d. Release Sensor
cout << "Release sensor" << endl;
pSensor->Release();
pSensor = nullptr;
return 0;
}
//Thread1 for Getting Every Frames Body
DWORD WINAPI DtoG(LPVOID pParam)
{
//Initiate Template
SMPL bodyTemplate = SMPL(MALE);
cout << "SMPL::initial finished!" << endl;
//Initiate Sensor
IKinectSensor *pSensor;
HRESULT hResult = S_OK;
hResult = GetDefaultKinectSensor(&pSensor);
hResult = pSensor->Open();
if (FAILED(hResult)) {
std::cerr << "Error : IKinectSensor::Open()" << std::endl;
return -1;
}
IBodyFrameSource *pBodySource;
hResult = pSensor->get_BodyFrameSource(&pBodySource);
if (FAILED(hResult)) {
std::cerr << "Error : IKinectSensor::get_BodyFrameSource()" << std::endl;
return -1;
}
IBodyFrameReader *pBodyReader;
hResult = pBodySource->OpenReader(&pBodyReader);
if (FAILED(hResult)) {
std::cerr << "Error : IBodyFrameSource::OpenReader()" << std::endl;
return -1;
}
//mat pp = zeros(24, 3);
//mat result=bodyTemplate.gen_pose_model(pp, TRUE);
//bodyTemplate.write_to_obj(result, "MALE.obj");
// Holt Double Exponential Smoothing Filter
Sample::FilterDoubleExponential filter[BODY_COUNT];
// Option : Setting Smoothing Parameter
for (int count = 0; count < BODY_COUNT; count++) {
float smoothing = 0.5f; // [0..1], lower values closer to raw data
float correction = 0.5f; // [0..1], lower values slower to correct towards the raw data
float prediction = 0.5f; // [0..n], the number of frames to predict into the future
float jitterRadius = 0.05f; // The radius in meters for jitter reduction
float maxDeviationRadius = 0.04f; // The maximum radius in meters that filtered positions are allowed to deviate from raw data
filter[count].Init(smoothing, correction, prediction, jitterRadius, maxDeviationRadius);
}
//The label number of the first body detected by Kinect
int BODY_LABEL = -1;
StopWatch time;
time.start();
int counter = 1;
bool tag = TRUE;
bool first = TRUE;
while (counter)
{
Vec4s vertex;
Vec3s normal;
//Obj new_body = BodyQueue.front();
mat trans_joint;
//bool judge = detectJoint(hResult, pBodyReader, joint);
IBodyFrame *pBodyFrame = nullptr;
hResult = pBodyReader->AcquireLatestFrame(&pBodyFrame);
if (SUCCEEDED(hResult)) {
IBody *pBody[BODY_COUNT] = { 0 };
hResult = pBodyFrame->GetAndRefreshBodyData(BODY_COUNT, pBody);
if (SUCCEEDED(hResult)) {
for (int count = 0; count < BODY_COUNT; count++) {
BOOLEAN bTracked = false;
hResult = pBody[count]->get_IsTracked(&bTracked);
if (bTracked&&SUCCEEDED(hResult) && BODY_LABEL == -1)
BODY_LABEL = count;
if (SUCCEEDED(hResult) && bTracked && count == BODY_LABEL) {
//counter--;
Joint joint[JointType::JointType_Count];
/////////////////////////////
hResult = pBody[count]->GetJoints(JointType::JointType_Count, joint);//joint
//////////////////////// Filtered Joint//////////////////////////////////
filter[count].Update(joint);
const DirectX::XMVECTOR *vec = filter[count].GetFilteredJoints();
for (int type = 0; type < JointType::JointType_Count; type++) {
if (joint[type].TrackingState != TrackingState::TrackingState_NotTracked) {
float x = 0.0f, y = 0.0f, z = 0.0f;
DirectX::XMVectorGetXPtr(&x, vec[type]);
DirectX::XMVectorGetYPtr(&y, vec[type]);
DirectX::XMVectorGetZPtr(&z, vec[type]);
}
}
////////////////////////////////////////////////////////////////////////
//Get joint for genBody from kinect joint
trans_joint = JointTransform(joint);
////////////////Transition from T-pose to first frame///////////////////////////////////
if (first == TRUE) {
mat pose = bodyTemplate.J_to_pose(trans_joint);
float coefficient = 0.04f / max(max(pose));
cout << coefficient << endl;
mat transition = zeros(24, 3);
int num = 0;
while (max(max(abs(transition))) < max(max(abs(pose))))
{
//transition.print("t:");
genFirstBody(transition, vertex, normal, bodyTemplate);
transition += pose*coefficient;
VQueue.push(vertex);
NQueue.push(normal);
num++;
}
cout << num << endl;
first = FALSE;
}
//////////////////////////////////////////////////////////////////////////////////
/////////////////////////////Smooth by List////////////////////////////////////////
mat sum = zeros(24, 3);
if (smoothList.size() < 5)
smoothList.push_back(trans_joint);
else {
for (iter = smoothList.begin(); iter != smoothList.end(); ++iter)
{
sum += (*iter);
}
sum = sum / 5;
smoothList.pop_front();
smoothList.push_back(trans_joint);
///////////////////////////////////////////////////////////////////////////
genBodyVector(sum, vertex, normal, bodyTemplate);
cout << "A new pose has been detected!" << endl;
if (tag == TRUE) {
VQueue.push(vertex);
NQueue.push(normal);
tag = FALSE;
cout << "num:" << VQueue.size() << endl;
}
else tag = TRUE;
time.stop();
cout << "cost:" << time.elapsed_ms() << endl;
time.restart();
}
//return TRUE;
}
}
}
for (int count = 0; count < BODY_COUNT; count++) {
SafeRelease(pBody[count]);
}
}
SafeRelease(pBodyFrame);
//if (judge)
//{
// genBody(joint, new_body);
// cout << "A new pose has been detected!" << endl;
//}
//else continue;
//new_body.scale_translate(0.30, 0, 1.0, 0);
//new_body.unified();
//BodyQueue.push(new_body);
}
SafeRelease(pBodySource);
SafeRelease(pBodyReader);;
if (pSensor) {
pSensor->Close();
}
SafeRelease(pSensor);
return 0;
}
int main(int argc, char** argv)
{
// 1a. Get default Sensor
cout << "Try to get default sensor" << endl;
IKinectSensor* pSensor = nullptr;
if (GetDefaultKinectSensor(&pSensor) != S_OK)
{
cerr << "Get Sensor failed" << endl;
return -1;
}
// 1b. Open sensor
cout << "Try to open sensor" << endl;
if (pSensor->Open() != S_OK)
{
cerr << "Can't open sensor" << endl;
return -1;
}
// 2a. Get frame source
cout << "Try to get Infrared source" << endl;
IInfraredFrameSource* pFrameSource = nullptr;
if (pSensor->get_InfraredFrameSource(&pFrameSource) != S_OK)
{
cerr << "Can't get Infrared frame source" << endl;
return -1;
}
// 2b. Get frame description
cout << "get Infrared frame description" << endl;
int iWidth = 0;
int iHeight = 0;
IFrameDescription* pFrameDescription = nullptr;
if (pFrameSource->get_FrameDescription(&pFrameDescription) == S_OK)
{
pFrameDescription->get_Width(&iWidth);
pFrameDescription->get_Height(&iHeight);
}
pFrameDescription->Release();
pFrameDescription = nullptr;
// 3a. get frame reader
cout << "Try to get Infrared frame reader" << endl;
IInfraredFrameReader* pFrameReader = nullptr;
if (pFrameSource->OpenReader(&pFrameReader) != S_OK)
{
cerr << "Can't get Infrared frame reader" << endl;
return -1;
}
// 2c. release Frame source
cout << "Release frame source" << endl;
pFrameSource->Release();
pFrameSource = nullptr;
// create OpenCV window
cv::namedWindow( "Infrared Image" );
// Enter main loop
while (true)
{
// 4a. Get last frame
IInfraredFrame* pFrame = nullptr;
if (pFrameReader->AcquireLatestFrame(&pFrame) == S_OK)
{
// 4c. Copy to OpenCV image
UINT uSize = 0;
UINT16* pBuffer = nullptr;
if (pFrame->AccessUnderlyingBuffer(&uSize, &pBuffer) == S_OK)
{
cv::Mat mIRImg(iHeight, iWidth, CV_16UC1, pBuffer);
cv::imshow("Infrared Image", mIRImg);
}
else
{
cerr << "Data access error" << endl;
}
// 4e. release frame
pFrame->Release();
}
// 4f. check keyboard input
if (cv::waitKey(30) == VK_ESCAPE){
break;
}
}
// 3b. release frame reader
cout << "Release frame reader" << endl;
pFrameReader->Release();
pFrameReader = nullptr;
// 1c. Close Sensor
cout << "close sensor" << endl;
pSensor->Close();
// 1d. Release Sensor
cout << "Release sensor" << endl;
pSensor->Release();
pSensor = nullptr;
return 0;
}