@inproceedings{0c19fa213a3641bf8f62ef3d77593fba,
title = "Directional Object Tracking Based on UAV Vision",
abstract = "Aiming at the problems of poor anti-interference ability and low tracking accuracy caused by excessive background information in the object bounding box of unmanned aerial vehicle(UAV) object tracking, this paper proposes a directional tracking system based on UAV vision to solve the issues of occlusion and adaptive tracking of directional objects. The article first constructs a tracking framework based on object motion characteristics to form a robust tracking system. Secondly, the article uses the moving horizon estimation(MHE) to model the object motion, extract the motion features, and establish the optimization function of the directional bounding box to perform adaptive tracking. Finally, a UAV platform is built for object tracking experiments, and the algorithm has excellent performance on the collected data sets.",
keywords = "directional objects, object tracking, UAV",
author = "Mengbo Yang and Chunhui Zhao and Yang Lyu and Quan Pan",
note = "Publisher Copyright: {\textcopyright} Beijing HIWING Scientific and Technological Information Institute 2024.; 3rd International Conference on Autonomous Unmanned Systems, ICAUS 2023 ; Conference date: 09-09-2023 Through 11-09-2023",
year = "2024",
doi = "10.1007/978-981-97-1107-9_49",
language = "英语",
isbn = "9789819711062",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "527--537",
editor = "Yi Qu and Mancang Gu and Yifeng Niu and Wenxing Fu",
booktitle = "Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023) - Volume I",
}