C++ 使用OpenCV检测视频中的基本变化

C++ 使用OpenCV检测视频中的基本变化,c++,opencv,motion-detection,C++,Opencv,Motion Detection,尝试重新创建一个基本的变更检测程序,我从Adrian Rosebrock写的一个很棒的博客中获得(如果想了解python和OpenCV,请点击此处)。代码是在Python中设计的,我正在尝试将它转换成C++。你可以找到这篇博文。我的难题是使用absdiff(firsFrame,gray,imageDifference),因为循环的每个迭代都有firstFrame和gray相等。我想问题是我初始化了firstFrame=gray,但是我做了一个cout检查它被点击了多少次,所以不确定。以下是代码:

尝试重新创建一个基本的变更检测程序,我从Adrian Rosebrock写的一个很棒的博客中获得(如果想了解python和OpenCV,请点击此处)。代码是在Python中设计的,我正在尝试将它转换成C++。你可以找到这篇博文。我的难题是使用absdiff(firsFrame,gray,imageDifference),因为循环的每个迭代都有firstFrame和gray相等。我想问题是我初始化了
firstFrame=gray
,但是我做了一个
cout
检查它被点击了多少次,所以不确定。以下是代码:

int min_area = 500; //min area of motion detectable

//get camera operational and make sure working correctly
VideoCapture camera(0);
if(!camera.isOpened()){
    cout << "cannot open camera" << endl;
    return(1);
}

Mat firstFrame, gray, imageDifference, thresh;
vector<vector<Point> > contours;
vector<Vec4i> hierarchy;


while(true){
    Mat frame;
    camera.read(frame);
    if(frame.empty()){
        cout << "frame was not captured" << endl;
        return(2);
    }
    //pre processing
    //resize(frame, frame, Size (1200,900));
    cvtColor(frame, gray, COLOR_BGR2GRAY);
    GaussianBlur(gray, gray, Size( 21, 21 ), 0, 0 );

    //initrialize first frame if necessary
    if(firstFrame.empty()){
        cout << "hit" << endl;
        firstFrame = gray;
        continue;
    }

    //get difference
    absdiff(firstFrame, gray, imageDifference);
    threshold(imageDifference, thresh, 25, 255, THRESH_BINARY);
    //fill in holes
    dilate(thresh, thresh, Mat(), Point(-1, -1), 2, 1, 1);
    findContours(thresh, contours, hierarchy, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_SIMPLE);

    //loop over contours
    for(int i = 0; i < contours.size(); i++){
        //get the boundboxes and save the ROI as an Image
        if (contourArea(contours[i]) < min_area){
            continue;
        }
        Rect boundRect = boundingRect( Mat(contours[i]));
        rectangle( frame, boundRect.tl(), boundRect.br(), (0,255,0), 1, 8, 0 );

    }
    //draw everything
    imshow("Security feed", frame);
    imshow("Thresh", thresh);
    imshow("Difference", imageDifference);
    if (waitKey(30) >= 0)
        break;
}

camera.release();
destroyAllWindows();
return(0);
int最小面积=500//最小运动面积
//让摄像头正常工作,确保工作正常
摄像机(0);
如果(!camera.isOpened()){
不能一些需要改进的地方:

  • firstFrame=gray
    =>
    gray.copyTo(firstFrame)

    您在同一行定义
    firstFrame
    gray
    ,然后在执行
    firstFrame=gray
    之后,它们共享相同的数据内存。因此每次它们都是相同的

  • 跳过一些帧

    由于相机刚刚启动,因此第一帧不太稳定,因此应跳过一些帧(如10帧)

  • 标量元组

    在C++中:

    cv::标量(b,g,r)元组(b,g,r)

    (b,g,r)=>r


  • 修改代码:

    int cnt = 0;
    
    while(true) {
    
        Mat frame;
        camera.read(frame);
        if(frame.empty()) {
            cout << "frame was not captured" << endl;
            return(2);
        }
        //pre processing
        //resize(frame, frame, Size (1200,900));
        cvtColor(frame, gray, COLOR_BGR2GRAY);
        GaussianBlur(gray, gray, Size( 21, 21 ), 0, 0 );
    
        //initrialize first frame if necessary
        if(firstFrame.empty()) {
            if(cnt<10){
                ++cnt;
            }else{
                cout << "hit" << endl;
                gray.copyTo(firstFrame);
            }
            continue;
        }
    
        // ...
    
        ///  cv::Scalar(b,g,r) <==> tuple(b,g,r)
        ///  (b,g,r) ==> r
        rectangle( frame, boundRect.tl(), boundRect.br(), Scalar(0,255,0), 1, 8, 0 );
    
        // ...
    
    
    }
    
    int cnt=0;
    while(true){
    垫架;
    摄像机读取(帧);
    if(frame.empty()){
    不能一些需要改进的地方:

  • firstFrame=gray
    =>
    gray.copyTo(firstFrame)

    您在同一行定义
    firstFrame
    gray
    ,然后在执行
    firstFrame=gray
    之后,它们共享相同的数据内存。因此每次它们都是相同的

  • 跳过一些帧

    由于相机刚刚启动,因此第一帧不太稳定,因此应跳过一些帧(如10帧)

  • 标量元组

    在C++中:

    cv::标量(b,g,r)元组(b,g,r)

    (b,g,r)=>r


  • 修改代码:

    int cnt = 0;
    
    while(true) {
    
        Mat frame;
        camera.read(frame);
        if(frame.empty()) {
            cout << "frame was not captured" << endl;
            return(2);
        }
        //pre processing
        //resize(frame, frame, Size (1200,900));
        cvtColor(frame, gray, COLOR_BGR2GRAY);
        GaussianBlur(gray, gray, Size( 21, 21 ), 0, 0 );
    
        //initrialize first frame if necessary
        if(firstFrame.empty()) {
            if(cnt<10){
                ++cnt;
            }else{
                cout << "hit" << endl;
                gray.copyTo(firstFrame);
            }
            continue;
        }
    
        // ...
    
        ///  cv::Scalar(b,g,r) <==> tuple(b,g,r)
        ///  (b,g,r) ==> r
        rectangle( frame, boundRect.tl(), boundRect.br(), Scalar(0,255,0), 1, 8, 0 );
    
        // ...
    
    
    }
    
    int cnt=0;
    while(true){
    垫架;
    摄像机读取(帧);
    if(frame.empty()){
    库特