Papers › SimpleTrack: Rethinking and Improving the JDE Approach for Multi-Object Tracking

SimpleTrack: Rethinking and Improving the JDE Approach for Multi-Object Tracking

8 Mar 2022arXiv:2203.03985archive 2025-07-28

Jiaxin Li, Yan Ding, HuaLiang Wei

Joint detection and embedding (JDE) based methods usually estimate bounding boxes and embedding features of objects with a single network in Multi-Object Tracking (MOT). In the tracking stage, JDE-based methods fuse the target motion information and appearance information by applying the same rule, which could fail when the target is briefly lost or blocked. To overcome this problem, we propose a new association matrix, the Embedding and Giou matrix, which combines embedding cosine distance and Giou distance of objects. To further improve the performance of data association, we develop a simple, effective tracker named SimpleTrack, which designs a bottom-up fusion method for Re-identity and proposes a new tracking strategy based on our EG matrix. The experimental results indicate that SimpleTrack has powerful data association capability, e.g., 61.6 HOTA and 76.3 IDF1 on MOT17. In addition, we apply the EG matrix to 5 different state-of-the-art JDE-based methods and achieve significant improvements in IDF1, HOTA and IDsw metrics, and increase the tracking speed of these methods by about 20%.

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Code

1vpmaster/SimpleTrack officialmentioned on GitHubpytorch report

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Tasks

3D Multi-Object TrackingMulti-Object TrackingObject Tracking

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
3D Multi-Object Tracking Waymo Open Dataset: Vehicle (Online Methods) SimpleTrack MOTA/L2 0.6018 #13 of 16 Archive leaderboard report
Multi-Object Tracking MOT17 SimpleTrack HOTA 61.6 #22 of 48 Archive leaderboard report
Multi-Object Tracking MOT17 SimpleTrack IDF1 76.3 #22 of 48 Archive leaderboard report
Multi-Object Tracking MOT17 SimpleTrack MOTA 75.3 #22 of 48 Archive leaderboard report
Multi-Object Tracking MOT20 SimpleTrack HOTA 57.6 #17 of 27 Archive leaderboard report
Multi-Object Tracking MOT20 SimpleTrack IDF1 70.2 #17 of 27 Archive leaderboard report
Multi-Object Tracking MOT20 SimpleTrack MOTA 72.6 #17 of 27 Archive leaderboard report

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Methods

SPEED

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