Zhen Chen
ABSTRACT
The target occlusion problem is a difficult problem for Unmanned Air Vehicle (UAV) object tracking, especially when there exists similar object interference, which is very likely to cause model drift. To solve this problem, in this paper we propose a novel anti-occlusion strategy: modeling the interfering target in advance and repositioning the target by finding the best match when the target is obscured. In addition, to accurately determine whether the target is occluded and model the interference target at the right time, we also propose judgment conditions for target occlusion and interference target modeling. Experiments demonstrate that the proposed anti-occlusion algorithm has good robustness and accuracy on both Object Tracking Benchmark (OTB100) and UAV Tracking Benchmark (UAV123).
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