Question

尝试重新创建一个基本的变化检测程序，我是从Adrian Rosebrock完成的一个很棒的博客中获得的（如果想进入python和OpenCV，请到这里）。代码是用python设计的，我试图将它转换为C ++。您可以找到博文here。我的奋斗是absdiff(firsFrame, gray, imageDifference)，因为循环的每次迭代都有firstFrame和灰色相等。我认为问题出在我初始化firstFrame = gray的地方，但是我做了cout检查，看看有多少次被击中，所以不确定。这是代码：

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);

Answer 1

有待改进：

firstFrame = gray =＆gt; gray.copyTo(firstFrame)

您在同一行定义firstFrame和gray，然后在执行firstFrame = gray之后，它们共享相同的数据内存。所以每次都是一样的。
略过一些帧。

由于相机刚启动，所以第一帧不稳定，你应该跳过一些帧（如10帧）。
cv :: Scalar＆lt; ==＆gt;元组

在C ++中：

cv::Scalar(b,g,r) <==> tuple(b,g,r)

(b,g,r) ==> r

修改后的代码：

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 );

    // ...


}

使用OpenCV检测视频中的基本更改

1 个答案: