ReTracker: Exploring Image Matching for Robust Online Any Point Tracking
Dongli Tan, Xingyi He, Sida Peng, Yiqing Gong, Xing Zhu, Jiaming Sun, Ruizhen Hu, Yujun Shen, Hujun Bao, Xiaowei Zhou
Abstract
Figure 1. Comparison Between Existing Online Trackers and the Proposed ReTracker. Retracking target points in a video sequence after long-term occlusions is challenging due to significant scene changes, where current state-of-the-art online trackers often struggle. In contrast, the proposed ReTracker pipeline achieves robust and accurate continuous tracking of target points upon reappearance, effectively handling large viewpoint and appearance variations.
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