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I use this to functions as a base of my tracking algorithm. //1. detect the features cv::goodFeaturesToTrack(gray_prev, // the image features, // the output detected features max_count, // the maximum number of features qlevel, // quality level minDist); // min distance between two features // 2. track features cv::calcOpticalFlowPyrLK( gray_prev, gray, // 2 consecutive images points_prev, // input point positions in first im points_cur, // output point positions in the 2nd status, // tracking success err); // tracking error cv::calcOpticalFlowPyrLK takes vector of points from the previous image as input, and returns appropriate points on the next image. Suppose I have random pixel (x, y) on the previous image, how can I calculate position of this pixel on the next image using OpenCV optical flow function?
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