//unsigned int frameNumber = 0;
　　unsigned int blobNumber = 0;

　　bool quit = false;
　　while (!quit&&cvGrabFrame(capture))
　　{
　　IplImage *img = cvRetrieveFrame(capture);

　　cvConvertScale(img, frame, 1, 0);

　　IplImage *segmentated = cvCreateImage(imgSize, 8, 1);

　　// Detecting red pixels:
　　// (This is very slow, use direct access better...)
　　for (unsigned int j=0; j<imgSize.height; j++)
　　for (unsigned int i=0; i<imgSize.width; i++)
　　{
　　CvScalar c = cvGet2D(frame, j, i);

　　double b = ((double)c.val[0])/255.;
　　double g = ((double)c.val[1])/255.;
　　double r = ((double)c.val[2])/255.;
　　// unsigned char f = 255*((r>0.2+g)&&(r>0.2+b));
　　// cvSet2D(segmentated, j, i, CV_RGB(f, f, f));
　　if(b>0.4 || g>0.4 || r>0.4)
　　cvSet2D(segmentated, j, i, CV_RGB(255, 255, 255));
　　else
　　cvSet2D(segmentated, j, i, CV_RGB(0, 0, 0));
　　}

　　cvMorphologyEx(segmentated, segmentated, NULL, morphKernel, CV_MOP_OPEN, 1);

　　cvShowImage("segmentated", segmentated);

　　IplImage *labelImg = cvCreateImage(cvGetSize(frame), IPL_DEPTH_LABEL, 1);

　　CvBlobs blobs;
　　unsigned int result = cvLabel(segmentated, labelImg, blobs);
　　cvFilterByArea(blobs, 500, 1000000);
　　cvRenderBlobs(labelImg, blobs, frame, frame, CV_BLOB_RENDER_BOUNDING_BOX);
　　cvUpdateTracks(blobs, tracks, 200., 5);
　　cvRenderTracks(tracks, frame, frame, CV_TRACK_RENDER_ID|CV_TRACK_RENDER_BOUNDING_BOX);

　　cvShowImage("red_object_tracking", frame);

　　// print key
　　for (CvTracks::const_iterator it=tracks.begin(); it!=tracks.end(); ++it)
　　{
　　int xx = (int)it->second->centroid.x;
　　int yy = (int)it->second->centroid.y;
　　//std::cout << xx << ',' << yy << std::endl;