使用OpenCV實現(xiàn)檢測和追蹤車輛

void processVideo(char* videoFilename) 
{ 
  Mat frame; // current frame 
  Mat fgMaskMOG2; // fg mask fg mask generated by MOG2 method 
  Mat bgImg; // background 
  Ptr<BackgroundSubtractorMOG2> pMOG2 = createBackgroundSubtractorMOG2(200, 36.0, false); // MOG2 Background subtractor 
 
  while (true) 
  { 
    VideoCapture capture(videoFilename); 
    if (!capture.isOpened()) 
    { 
      cerr << "Unable to open video file: " << videoFilename << endl; 
      return; 
    } 
 
    int width = (int)capture.get(CV_CAP_PROP_FRAME_WIDTH); 
    int height = (int)capture.get(CV_CAP_PROP_FRAME_HEIGHT); 
 
    unique_ptr<IplImage, void(*)(IplImage*)> labelImg(cvCreateImage(cvSize(width, height), IPL_DEPTH_LABEL, 1),  
      [](IplImage* p){ cvReleaseImage(&p); }); 
    CvBlobs blobs; 
    CvTracks tracks; 
 
    while (true) 
    { 
      // read input data. ESC or 'q' for quitting 
      int key = waitKey(1); 
      if (key == 'q' || key == 27) 
        return; 
      if (!capture.read(frame)) 
        break; 
 
      // update background 
      pMOG2->apply(frame, fgMaskMOG2); 
      pMOG2->getBackgroundImage(bgImg); 
      imshow("BG", bgImg); 
      imshow("Original mask", fgMaskMOG2); 
 
      // post process 
      medianBlur(fgMaskMOG2, fgMaskMOG2, 5); 
      imshow("medianBlur", fgMaskMOG2); 
      morphologyEx(fgMaskMOG2, fgMaskMOG2, MORPH_CLOSE, getStructuringElement(MORPH_RECT, Size(5, 5))); // fill black holes 
      morphologyEx(fgMaskMOG2, fgMaskMOG2, MORPH_OPEN, getStructuringElement(MORPH_RECT, Size(5, 5))); // fill white holes 
      imshow("morphologyEx", fgMaskMOG2); 
 
      // track 
      cvLabel(&IplImage(fgMaskMOG2), labelImg.get(), blobs); 
      cvFilterByArea(blobs, 64, 10000); 
      cvUpdateTracks(blobs, tracks, 10, 90, 30); 
      cvRenderTracks(tracks, &IplImage(frame), &IplImage(frame)); 
 
      // show 
      imshow("Frame", frame); 
 
      key = waitKey(30); 
    } 
  } 
}