Revision history [back]

Hi, I'm using Soft Cascade from OpenCV 2.4.9 for detecting pedestrians in video. Detector is working quite well, but I have a little problem with results. Detector is returning quite lot of bounding rectangles of one person for almost every detection. Example: there are three pedestrians and ~30 bounding boxes for them, ~10 for person... The problem is bigger when people are walking in groups, then I just get a one big cloud of rectangles... Setting confidence threshold for results is probably not the solution, lot of results has quite nice lvl of confidence. So the question is, how to sort detection results to get just best detections per object. Something similar like "CV_HAAR_FIND_BIGGEST_OBJECT" in Haar detection function, that would work also when detected objects are close together. Anybody have any ideas?