March 19, 2024, 4:47 a.m. | Deyi Ji, Siqi Gao, Lanyun Zhu, Yiru Zhao, Peng Xu, Hongtao Lu, Feng Zhao

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.10830v1 Announce Type: new
Abstract: In this paper, we address the challenge of multi-object tracking (MOT) in moving Unmanned Aerial Vehicle (UAV) scenarios, where irregular flight trajectories, such as hovering, turning left/right, and moving up/down, lead to significantly greater complexity compared to fixed-camera MOT. Specifically, changes in the scene background not only render traditional frame-to-frame object IOU association methods ineffective but also introduce significant view shifts in the objects, which complicates tracking. To overcome these issues, we propose a novel …

abstract aerial arxiv challenge complexity cs.cv moving object paper tracking type unmanned aerial vehicle view

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