Improved multi-object tracking by associating all detection boxes
Improved multi-object tracking by associating all detection boxes
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
arXiv paper abstract https://arxiv.org/abs/2110.06864
arXiv PDF paper https://arxiv.org/pdf/2110.06864.pdf
Multi-object tracking (MOT) aims at estimating bounding boxes and identities of objects in videos.
Most methods ... objects with low detection scores, e.g. occluded objects, are simply thrown away, which brings non-negligible true object missing and fragmented trajectories.
... present a simple, effective and generic association method, called BYTE, tracking BY associaTing Every detection box instead of only the high score ones.
... utilize their similarities with tracklets to recover true objects and filter out the background detections.
... achieve 80.3 MOTA, 77.3 IDF1 and 63.1 HOTA on the test set of MOT17 with 30 FPS running speed on a single V100 GPU. ...
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