Trackers gives you clean, modular re-implementations of leading multi-object tracking algorithms released under the permissive Apache 2.0 license. You combine them with any detection model you already use.
BAM-SORT: A state-of-the-art multi-object tracking algorithm using bottom edge cost matrix and activated trajectory matching for robust tracking in crowded and occlusion-heavy environments. Excelling in benchmarks like MOT17, MOT20, and DanceTrack.
Real-time pedestrian tracking using YOLOv8 for detection and DeepSORT for multi-object tracking on the MOT17 dataset.
Track video objects with YOLOv8 and StrongSORT, using appearance embeddings and MOT metrics for reliable multi-object tracking
Real-time multi-object tracking with YOLOv8 detection and BoT-SORT + CLIP ReID — evaluated on MOT17 (43.3% HOTA).
Advanced multi-object tracking pipeline — YOLOv8m + StrongSORT with OSNet appearance embeddings on MOT17. HOTA 41.6 | MOTA 38.1 | IDF1 50.8. Benchmarked against ByteTrack baseline with TrackEval.
An almost reproduction of my first published work back in 2013. Laptop-friendly multi-person human detection and tracking using YOLO, OpenCV, webcam streaming, and MOT17 video demos.
Comparative analysis of DeepOCSORT, StrongSORT, and ByteTrack for robust tracking under heavy occlusion.
Person detection and tracking, benchmarked on MOT17 — HOTA 41.99, IDF1 50.32 with private detections. SSD MobileNet v3 and YOLOv8 behind one interface.
Manual track annotation in CVAT vs MOT17 ground truth: IDF1, ID switches, fragmentation, amodal occlusion analysis, annotator guidelines
Reproduction of BoostTrack++ (arXiv 2408.13003). Achieved +1.2 HOTA, +0.7 MOTA, +1.6 IDF1, -24 IDSWs on MOT 17
Official implementation of ST-TrackFormer for multi-object tracking with spatial-temporal attention.
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