BoT-SORT
Robust multi-object tracking combining motion and appearance cues.
About
BoT-SORT is a multi-object tracking method that associates detections across video frames by combining motion and appearance cues. It adds camera-motion compensation, an improved Kalman filter state vector, and an optional re-identification branch (BoT-SORT-ReID) for appearance matching. It reached state-of-the-art results on the MOT17 and MOT20 benchmarks and is commonly paired with YOLO detectors for tracking pipelines.
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Details
- Price
- Free
- Platform
- Local/Desktop
- Difficulty
- Intermediate (3/5)
- Minimum VRAM
- 4 GB
- Added
- Apr 3, 2026
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