![]() The average accuracy that we got was 28.6, which is very low.įairMOT was introduced to tackle the re-identification problem. The metrics calculated in DeepSort did not show good results either. Some of the examples when DeepSORT fails are: ID Switching (IDSw.) is the total number of ID switches in the video stream.Įven though DeepSORT is one of the most popular trackers, it has many drawbacks.Here, IDTP is Identity True Positives, IDFP is Identity False Positives, and IDFN is Identity False Negatives. IDF1 score (IDF1) is the ratio of correctly identified detections over the average of ground truth and predicted detections.Here, c t is the number of matches found for time t, and for each of these matches, d i t is the distance between the object o i and its corresponding hypothesis. Multiple Object Tracking Precision (MOTP) calculates the misalignment between ground truth and predicted boxes.Here, m t, fp t, and mme t are the number of misses, of false positives, and of mismatches, respectively, for time t. Multiple Object Tracking Accuracy (MOTA) combines false positives, missed targets and identity switches.These are trackers with a detection pipeline. Recent algorithms have an object detection pipeline, built along with an association stage to get better tracking results.These are trackers without a detection pipeline. Then, these objects are tracked in the next frames. Traditionally, box coordinates are manually initialised around the objects in the first frame.These include DeepSort, JDE, FairMOT, etc. Multiple Object Trackers include deep learning trackers which are trained on a dataset to track multiple objects of the same or different classes.These work by initialising the object in the first frame, and track it throughout the sequence. Single Object Trackers which include legacy OpenCV trackers like CSRT, KCF, etc.Types of trackers: trackers can be classified based on some attributes:.Referring to our previous post about MOTs and DeepSort, we will recap a few concepts. Comparison with other One-Shot Trackers.Feature sharing between Object Detection and Re-ID. ![]()
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