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Have you tried using object attributes/features to enable tracking instead of IOU-based tracking? I suspect this tracker falls apart when there are significant
by martinshen 7y ago
Have you tried using object attributes/features to enable tracking instead of IOU-based tracking? I suspect this tracker falls apart when there are significant obstructions. Thoughts on a Recurrent YOLO or DeepSORT based tracker?
- adipandas 7y agoYes. I am actually looking into this idea. I thought instead of recurrent yolo, Correlation Filter is much simpler. I was referring the following papers: 1. https://ethz.ch/content/dam/ethz/special-interest/baug/igp/photogrammetry-remote-sensing-dam/documents/pdf/learning-tracking-siamese.pdf https://ethz.ch/content/dam/ethz/special-interest/baug/igp/p... 2. https://zpascal.net/cvpr2018/He_A_Twofold_Siamese_CVPR_2018_paper.pdf https://zpascal.net/cvpr2018/He_A_Twofold_Siamese_CVPR_2018_... 3. http://openaccess.thecvf.com/content_ECCV_2018/papers/Yunhua_Zhang_Structured_Siamese_Network_ECCV_2018_paper.pdf http://openaccess.thecvf.com/content_ECCV_2018/papers/Yunhua...
- kevinsundar 7y agoI've found that IOU based tracking is surprisingly reliable (my dataset was primarily surveillance footage with a static camera) if you take measures to smooth the data and predict object motion using a kalman filter.
- adipandas 7y agoKalman filter is also one good way to reliably keep track of objects under significant obstruction.