AI RESEARCH
Decoupling Ego-Motion from Target Dynamics via Dual-Interval Motion Cues for UAV Detection
arXiv CS.CV
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ArXi:2605.22605v1 Announce Type: cross Object detection from Unmanned Aerial Vehicles (UAVs) is challenged by severe ego-motion, camera jitter, and large scale variations. While modern detectors perform well on static images, their direct application to UAV video often fails, particularly for small objects in dynamic scenes. Existing motion-based methods either rely on computationally expensive optical flow or use single-interval differencing, which is sensitive to jitter and limited in capturing diverse motion patterns.