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MapTrack: Tracking in the Map
Feb. 21, 2024, 5:46 a.m. | Fei Wang, Ruohui Zhang, Chenglin Chen, Min Yang, Yun Bai
cs.CV updates on arXiv.org arxiv.org
Abstract: Multi-Object Tracking (MOT) aims to maintain stable and uninterrupted trajectories for each target. Most state-of-the-art approaches first detect objects in each frame and then implement data association between new detections and existing tracks using motion models and appearance similarities. Despite achieving satisfactory results, occlusion and crowds can easily lead to missing and distorted detections, followed by missing and false associations. In this paper, we first revisit the classic tracker DeepSORT, enhancing its robustness over crowds …
abstract art arxiv association cs.cv data map objects state tracking type
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