c -使用OpenCV中的直方图数据跟踪对象

Question

我正在尝试使用对象的直方图数据跟踪图像内的对象。我传入一个参考图像来获取直方图数据并将其存储在Mat中。从那里我加载一个图像并尝试使用直方图数据来检测对象。我遇到的问题是，它不仅没有跟踪目标，而且没有更新检测。如果我加载图像"1.jpg"，检测将声称该对象位于左下角，但它位于右上角。当我传入第二张图像时，检测场根本没有移动。对于下一批图像也是如此。下面是我的应用程序的代码片段:

这是在Windows 7 32位环境下在VS2010中使用OpenCV2.3完成的。提前感谢您的帮助

int main( int argc, char** argv )
{
    vector<string> szFileNames;
    IplImage* Image;
    Mat img, hist, backproj;
    Rect trackWindow;
    // Load histogram data
    hist = ImageHistogram("C:/Users/seb/Documents/redbox1.jpg", backproj);
    Image = cvLoadImage("C:/Users/seb/Documents/1.jpg");
        img = Mat(Image);
    trackWindow = Rect(0, 0, Image->width, Image->height);
    imshow("Histogram", hist);
    while(true)
    {
        Detection(img, backproj, trackWindow);
        imshow("Image", img);
        char c = cvWaitKey(1);
        switch(c)
        {
            case 32:
            {
                cvReleaseImage(&Image);
                Image = cvLoadImage("C:/Users/seb/Documents/redbox2.jpg");
                img = Mat(Image);
                break;
            }
        }
    }
    cvReleaseImage(&Image);
    // Destroy all windows
    cvDestroyWindow("Histogram");
    cvDestroyWindow("Image");
    return 0;
}
Mat ImageHistogram(string szFilename, Mat& backproj)
{
    // Create histogram values
    int vmin = 10;
    int vmax = 256;
    int smin = 30;
    int hsize = 16;
    float hranges[] = {0,180};
    const float* phranges = hranges;
    // Load the image
    IplImage* Image = cvLoadImage(szFilename.c_str());
    Rect rect = Rect(0, 0, Image->width, Image->height);
    // Convert Image to a matrix
    Mat ImageMat = Mat(Image);
    // Create and initialize the Histogram
    Mat hsv, mask, hue, hist, histimg = Mat::zeros(200, 320, CV_8UC3);
    cvtColor(ImageMat, hsv, CV_BGR2HSV);
    // Create and adjust the histogram values
    inRange(hsv, Scalar(0, smin, vmin), Scalar(180, 256, vmax), mask);
    int ch[] = {0, 0};
    hue.create(hsv.size(), hsv.depth());
    mixChannels(&hsv, 1, &hue, 1, ch, 1);
    Mat roi(hue, rect), maskroi(mask, rect);
    calcHist(&roi, 1, 0, maskroi, hist, 1, &hsize, &phranges);
    normalize(hist, hist, 0, 255, CV_MINMAX);
    histimg = Scalar::all(0);
    int binW = histimg.cols / hsize;
    Mat buf(1, hsize, CV_8UC3);
    for( int i = 0; i < hsize; i++ )
        buf.at<Vec3b>(i) = Vec3b(saturate_cast<uchar>(i*180./hsize), 255, 255);
    cvtColor(buf, buf, CV_HSV2BGR);
    for( int i = 0; i < hsize; i++ )
    {
        int val = saturate_cast<int>(hist.at<float>(i)*histimg.rows/255);
        rectangle( histimg, Point(i*binW,histimg.rows),
            Point((i+1)*binW,histimg.rows - val),
            Scalar(buf.at<Vec3b>(i)), -1, 8 );
    }
    calcBackProject(&hue, 1, 0, hist, backproj, &phranges);
    backproj &= mask;
    cvReleaseImage(&Image);
    return histimg;
}
void Detection(Mat& image, Mat& backproj, Rect& trackWindow)
{
    RotatedRect trackBox = CamShift(backproj, trackWindow, TermCriteria( CV_TERMCRIT_EPS | CV_TERMCRIT_ITER, 10, 1 ));
    int test2 = trackWindow.area();
    if(trackBox.size.height > 0 && trackBox.size.width > 0)
    {
        if( trackWindow.area() <= 1 )
        {
            int cols = backproj.cols, rows = backproj.rows, r = (MIN(cols, rows) + 5)/6;
            trackWindow = Rect(trackWindow.x - r, trackWindow.y - r,
                trackWindow.x + r, trackWindow.y + r) &
                Rect(0, 0, cols, rows);
        }
        int test = trackBox.size.area();
        if(test >= 1)
        {
            rectangle(image, trackBox.boundingRect(), Scalar(255,0,0), 3, CV_AA);
            ellipse( image, trackBox, Scalar(0,0,255), 3, CV_AA );
        }
    }
}

Answer 1

我已经解决了这个问题。它必须处理我没有转换我正在检查的图像。我必须从我的彩色框中获得直方图数据然后我必须从我用来搜索的图像中获得直方图