OpenCV 2.4.2 calcOpticalFlowPyrLK 找不到任何点

我在Linux上使用OpenCV 2.4.2。我在用C++写作。我想跟踪简单的对象（例如，白色背景上的黑色矩形）。首先，我使用goodFeaturesToTrack，然后使用calcOpticalFlowPyrLK在另一张图像上找到这些点。问题是calcOpticalFlowPyrLK找不到这些点。

我在C中找到了这样做的代码，但在我的情况下不起作用：http://dasl.mem.drexel.edu/~noahKuntz/openCVTut9.html

我已将其转换为C++：

int main(int, char**) {
    Mat imgAgray = imread("ImageA.png", CV_LOAD_IMAGE_GRAYSCALE);
    Mat imgBgray = imread("ImageB.png", CV_LOAD_IMAGE_GRAYSCALE);
    Mat imgC = imread("ImageC.png", CV_LOAD_IMAGE_UNCHANGED);
    vector<Point2f> cornersA;
    goodFeaturesToTrack(imgAgray, cornersA, 30, 0.01, 30);
    for (unsigned int i = 0; i < cornersA.size(); i++) {
        drawPixel(cornersA[i], &imgC, 2, blue);
    }
    // I have no idea what does it do
//    cornerSubPix(imgAgray, cornersA, Size(15, 15), Size(-1, -1),
//            TermCriteria(TermCriteria::COUNT + TermCriteria::EPS, 20, 0.03));
    vector<Point2f> cornersB;
    vector<uchar> status;
    vector<float> error;
    // winsize has to be 11 or 13, otherwise nothing is found
    int winsize = 11;
    int maxlvl = 5;
    calcOpticalFlowPyrLK(imgAgray, imgBgray, cornersA, cornersB, status, error,
            Size(winsize, winsize), maxlvl);
    for (unsigned int i = 0; i < cornersB.size(); i++) {
        if (status[i] == 0 || error[i] > 0) {
            drawPixel(cornersB[i], &imgC, 2, red);
            continue;
        }
        drawPixel(cornersB[i], &imgC, 2, green);
        line(imgC, cornersA[i], cornersB[i], Scalar(255, 0, 0));
    }
    namedWindow("window", 1);
    moveWindow("window", 50, 50);
    imshow("window", imgC);
    cvWaitKey(0);
    return 0;
}

图片A：http://oi50.tinypic.com/14kv05v.jpg

图片B:http://oi46.tinypic.com/4l3xom.jpg

图片C：http://oi47.tinypic.com/35n3uox.jpg

我发现它只适用于winsize＝11。我试着在一个移动的矩形上使用它来检查它离原点有多远。它几乎无法检测到所有四个角。

int main(int, char**) {
    std::cout << "Compiled at " << __TIME__ << std::endl;
    Scalar white = Scalar(255, 255, 255);
    Scalar black = Scalar(0, 0, 0);
    Scalar red = Scalar(0, 0, 255);
    Rect rect = Rect(50, 100, 100, 150);
    Mat org = Mat(Size(640, 480), CV_8UC1, white);
    rectangle(org, rect, black, -1, 0, 0);
    vector<Point2f> features;
    goodFeaturesToTrack(org, features, 30, 0.01, 30);
    std::cout << "POINTS FOUND:" << std::endl;
    for (unsigned int i = 0; i < features.size(); i++) {
        std::cout << "Point found: " << features[i].x;
        std::cout << " " << features[i].y << std::endl;
    }
    bool goRight = 1;
    while (1) {
        if (goRight) {
            rect.x += 30;
            rect.y += 30;
            if (rect.x >= 250) {
                goRight = 0;
            }
        } else {
            rect.x -= 30;
            rect.y -= 30;
            if (rect.x <= 50) {
                goRight = 1;
            }
        }
        Mat frame = Mat(Size(640, 480), CV_8UC1, white);
        rectangle(frame, rect, black, -1, 0, 0);
        vector<Point2f> found;
        vector<uchar> status;
        vector<float> error;
        calcOpticalFlowPyrLK(org, frame, features, found, status, error,
                    Size(11, 11), 5);
        Mat display;
        cvtColor(frame, display, CV_GRAY2BGR);
        for (unsigned int i = 0; i < found.size(); i++) {
            if (status[i]  == 0 || error[i] > 0) {
                continue;
            } else {
                line(display, features[i], found[i], red);
            }
        }
        namedWindow("window", 1);
        moveWindow("window", 50, 50);
        imshow("window", display);
        if (cvWaitKey(300) > 0) {
            break;
        }
    }
}

Lucas Kanade的OpenCV实现似乎无法跟踪二进制图像上的矩形。是我做错了什么，还是这个功能不起作用？