//--------------------------------------------------------------
void openniTracking::calculateMotion(){
if(frameCounter > 5){// dont do anything until we have enough in history
grayNow = cleanImage;
if(computeOpticalFlow){
opticalFlow.calc(grayPrev,grayNow,11); // optical flow analysis based on frame difference
cvSmooth(opticalFlow.getVelX(), opticalFlow.getVelX(), CV_BLUR , CAM_VELOCITY_BLUR);
cvSmooth(opticalFlow.getVelY(), opticalFlow.getVelY(), CV_BLUR , CAM_VELOCITY_BLUR);
}
motionImg.absDiff(grayPrev, grayNow); // motionImg is the difference between current and previous frame
cvThreshold(motionImg.getCvImage(), motionImg.getCvImage(), (int)mThreshold, 255, CV_THRESH_TOZERO); // anything below mThreshold, drop to zero (compensate for noise)
numPixelsChanged = motionImg.countNonZeroInRegion(0, 0, _width, _height); // this is how many pixels have changed that are above mThreshold
grayPrev = grayNow; // save current frame for next loop
cvThreshold(motionImg.getCvImage(), motionImg.getCvImage(), (int)mThreshold, 255, CV_THRESH_TOZERO);// chop dark areas
// Calculate the general "mood" of the scene
mood = averageBnWVal(motionImg.getCvImage());
}else{
frameCounter++;
}
}
void testApp::update() {
int curClient;
ofBackground( 100, 100, 100 );
vidGrabber.grabFrame();
if( vidGrabber.isFrameNew() ) {
colorImg = vidGrabber.getPixels();
colorImg.mirror( flipImageV, !flipImageH ); // Image must be flipped vertically - screen coordinate system.
grayImg = colorImg;
if( bLearnBakground )
{
bgImg = grayImg;
bLearnBakground = false;
//maskingChanges = true;
}
//grayImg.absDiff( maskedBgImage );
// oldGrayImg will be used to track the general "mood" or activity of the current frame.
// It currently contains the last frame, unmodified
// After absDiff instruction it will contain the difference between the last and the current frame.
oldGrayImg.absDiff(grayImg);
// Calculate the general "mood" of the scene now.
mood = averageBnWVal(oldGrayImg.getCvImage());
// update oldGrayImg
oldGrayImg = grayImg;
// Report scene mood.
if ((mood > moodSpike) || (currNonMoodFrame > nonMoodFrames))
{
char updateMSG[100];
sprintf(updateMSG,"%d|%d|%f|%f|%f|%f\n", USER_MOOD, SCENE_MOOD_USER, mood, 0.0,
0.0, 0.0);
printf("%s",updateMSG);
tcps.sendToAll(updateMSG);
currNonMoodFrame = 0;
} else
{
currNonMoodFrame++;
}
grayImg.absDiff(bgImg);
grayImg.blur( 11 );
grayImg.threshold( threshold );
//findContures( img, minSize, maxSize, nMax, inner contours yes/no )
contourFinder.findContours( grayImg, blobSizeMin, blobSizeMax, maxUsers, false );
blobTracker.trackBlobs( contourFinder.blobs );
}
for (curClient = 0; curClient < tcps.getNumClients(); curClient++)
{
std::string request = tcps.receive(curClient);
char data[100];
if (request. length())
{
if (strncmp(request.c_str(), "PtBlob?",7) == 0)
{
int curBlob;
// PtBlob collision test
// Get the coordinates
float x, y;
strncpy(data, &(request.c_str()[7]), 100);
sscanf(data, "%f,%f", &x, &y);
for (curBlob = 0; curBlob < blobTracker.blobs.size(); curBlob++)
{
ofxCvTrackedBlob blob = blobTracker.getById(curBlob);
}
}
}
}
}
