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Spatio-Temporal Bi-directional Cross-frame Memory for Distractor Filtering Point Cloud Single Object Tracking
March 26, 2024, 4:46 a.m. | Shaoyu Sun, Chunyang Wang, Xuelian Liu, Chunhao Shi, Yueyang Ding, Guan Xi
cs.CV updates on arXiv.org arxiv.org
Abstract: 3D single object tracking within LIDAR point clouds is a pivotal task in computer vision, with profound implications for autonomous driving and robotics. However, existing methods, which depend solely on appearance matching via Siamese networks or utilize motion information from successive frames, encounter significant challenges. Issues such as similar objects nearby or occlusions can result in tracker drift. To mitigate these challenges, we design an innovative spatio-temporal bi-directional cross-frame distractor filtering tracker, named STMD-Tracker. Our …
abstract arxiv autonomous autonomous driving cloud computer computer vision cs.cv driving filtering however information lidar memory networks object pivotal robotics temporal tracking type via vision
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