Papers › AdapTrack: Adaptive Thresholding-Based Matching For Multi-object Tracking
AdapTrack: Adaptive Thresholding-Based Matching For Multi-object Tracking
Kyujin Shim, Kangwook Ko, Jubi Hwang, Changick Kim
Multi-object tracking (MOT) plays a pivotal role in various computer vision domains with recent tracking-by detection algorithms that treat MOT as distinct detection and association tasks. However, the existing trackers often rely on sensitive thresholds to associate previous tracks and current detection results while forming complete trajectories across a video. These thresholds are crucial for tracking performance and require manual tuning for each dataset or even sequence, limiting the adaptability in real-world applications. To tackle this problem, in this paper, we introduce AdapTrack, a novel MOT algorithm designed to enable adaption on varying scenarios without handcrafted threshold configuration. With a carefully designed matching strategy, our tracker can adaptively select proper thresholds for each frame and correctly associate detected objects. Consequently, AdapTrack shows outperforming results on standard MOT benchmarks, MOT17 and MOT20, compared to existing state-of-the-art methods. Every source code is available at https://github.com/kamkyu94/AdapTrack.
Code
Repository list and official/mentioned flags are the archive's, frozen 2025-07-28. Reachability, where shown, is from one Syntology probe window (2026-09-16 to 2026-09-18); repositories not probed show nothing. GitHub stars are not tracked.
Code Syntology ran Syntology
Not run by Syntology. Nothing on this page verifies that the listed code works.
Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Multi-Object Tracking | MOT17 | AdapTrack | AssA | 66.9 | #5 of 48 | Archive leaderboard | report |
| Multi-Object Tracking | MOT17 | AdapTrack | HOTA | 65.7 | #5 of 48 | Archive leaderboard | report |
| Multi-Object Tracking | MOT17 | AdapTrack | IDF1 | 82.3 | #5 of 48 | Archive leaderboard | report |
| Multi-Object Tracking | MOT17 | AdapTrack | MOTA | 79.9 | #5 of 48 | Archive leaderboard | report |
| Multi-Object Tracking | MOT20 | AdapTrack | AssA | 67.8 | #4 of 27 | Archive leaderboard | report |
| Multi-Object Tracking | MOT20 | AdapTrack | HOTA | 65.0 | #4 of 27 | Archive leaderboard | report |
| Multi-Object Tracking | MOT20 | AdapTrack | IDF1 | 80.7 | #4 of 27 | Archive leaderboard | report |
| Multi-Object Tracking | MOT20 | AdapTrack | MOTA | 75.0 | #4 of 27 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections