OpenCV检测车辆的代码实现

Question

使用OpenCV进行车辆检测，检测移动的车辆数据，代码如何实现，请指教

Answer 1

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);  
        }  
    }  
}