Exemple #1
0
void DepthStream::getColorSpacePoints(ColorSpacePoint *colorSpacePointsFromDepth)
{
    if (lock()) {
        // Calculate the body's position on the screen
        const UINT depthPointCount = DEPTH_WIDTH * DEPTH_HEIGHT;
        ICoordinateMapper *coordinateMapper = nullptr;
        HRESULT hr = m_Device->get().kinect2->get_CoordinateMapper(&coordinateMapper);

        if (SUCCEEDED(hr)) {
            coordinateMapper->MapDepthFrameToColorSpace(depthPointCount, (UINT16 *)m_Frame.data, depthPointCount, colorSpacePointsFromDepth);
        }

        safeRelease(coordinateMapper);
        unlock();
    }
}
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;
}