Comments (1)
The tracker can be used with any source of bounding boxes; they can come from any type of object detection algorithm one can imagine.
A good starting point is to play with https://github.com/wmuron/motpy/blob/master/examples/mot16_challange.py and modify it to ingest raw object detections directly from your deep learning detector.
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Related Issues (20)
- Feature Request: Include ego motion of camera HOT 2
- Explanation of function arguments HOT 2
- question: any suggestions on how to speed up? HOT 2
- MOT tracks non-existent objects
- Velocity tracking HOT 4
- dt of MultiObjectTracker not passed into Tracker HOT 1
- Should matching follows after tracker.predict()? HOT 3
- Visualization video tracker
- 2d multi object tracking video HOT 1
- How to pass detection meta-information through the tracker? HOT 3
- Parameters for random accelerating objects HOT 1
- How to make tracking alive time longer when real bounding boxes are missing?
- Flying bboxes from lost objects
- Code not working on Windows HOT 1
- not working example command HOT 1
- Enhancement of Object Tracking Accuracy in Low-Contrast Scenes
- Installation fail on raspberry pi 4 HOT 1
- Error while processing a video HOT 7
- Skip object detection frames. HOT 1
- Retrieve detection score (and metadata) from Track HOT 3
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