AI RESEARCH
Architecture and evaluation protocol for transformer-based visual object tracking in UAV applications
arXiv CS.CV
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ArXi:2603.03904v2 Announce Type: replace Object tracking from Unmanned Aerial Vehicles (UAVs) is challenged by platform dynamics, camera motion, and limited onboard resources. Existing visual trackers either lack robustness in complex scenarios or are too computationally demanding for real-time embedded use. We propose an Modular Asynchronous Tracking Architecture (MATA) that combines a transformer-based tracker with an Extended Kalman Filter, integrating ego-motion compensation from sparse optical flow and an object trajectory model. We further.