AI RESEARCH
Spatial Orthogonal Refinement for Robust RGB-Event Visual Object Tracking
arXiv CS.CV
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ArXi:2603.27913v1 Announce Type: new Robust visual object tracking (VOT) remains challenging in high-speed motion scenarios, where conventional RGB sensors suffer from severe motion blur and performance degradation. Event cameras, with microsecond temporal resolution and high dynamic range, provide complementary structural cues that can potentially compensate for these limitations.