int main() { // Read reference image cv::Mat image= cv::imread("../images/baboon1.jpg"); if (!image.data) return 0; // Define ROI cv::Mat imageROI= image(cv::Rect(110,260,35,40)); cv::rectangle(image, cv::Rect(110,260,35,40), cv::Scalar(0,0,255)); // Display image cv::namedWindow("Image 1"); cv::imshow("Image 1",image); // Get the Hue histogram int minSat=65; ColorHistogram hc; cv::MatND colorhist= hc.getHueHistogram(imageROI, minSat); ObjectFinder finder; finder.setHistogram(colorhist); finder.setThreshold(0.2f); // Second image image= cv::imread("../images/baboon3.jpg"); // Display image cv::namedWindow("Image 2"); cv::imshow("Image 2",image); // Convert to HSV space cv::Mat hsv; cv::cvtColor(image, hsv, CV_BGR2HSV); // Split the image vector<cv::Mat> v; cv::split(hsv,v); // Eliminate pixels with low saturation cv::threshold(v[1],v[1],minSat,255,cv::THRESH_BINARY); cv::namedWindow("Saturation"); cv::imshow("Saturation",v[1]); // Get back-projection of hue histogram int ch[1]={0}; cv::Mat result= finder.find(hsv,0.0f,180.0f,ch,1); cv::namedWindow("Result Hue"); cv::imshow("Result Hue",result); // Eliminate low stauration pixels cv::bitwise_and(result,v[1],result); cv::namedWindow("Result Hue and raw"); cv::imshow("Result Hue and raw",result); cv::Rect rect(110,260,35,40); cv::rectangle(image, rect, cv::Scalar(0,0,255)); cv::TermCriteria criteria(cv::TermCriteria::MAX_ITER,10,0.01); cout << "meanshift= " << cv::meanShift(result,rect,criteria) << endl; cv::rectangle(image, rect, cv::Scalar(0,255,0)); // Display image cv::namedWindow("Image 2 result"); cv::imshow("Image 2 result",image); cv::waitKey(); return 0; }