使用OpenCV实现检测和追踪车辆分享！

本文实例为大家分享了OpenCV实现检测和追踪车辆的具体代码，供大家参考，具体内容如下

完整源码GitHub

由于要对背景建模，这个方法要求背景是静止的
另外不同车辆白色区域不能连通，否则会认为是同一物体

  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);       }     }   } 

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