Various Object Trackers for UAV Chasing of Counter UAV Systems
- Authors
- Kim, Kyubin; Kim, Jaehong; Lee, Han-Gyeol; Joung, Jingon
- Issue Date
- Jul-2023
- Publisher
- IEEE Computer Society
- Keywords
- object tracker; Unmanned aerial vehicles (UAV); YOLO
- Citation
- International Conference on Ubiquitous and Future Networks, ICUFN, v.2023-July, pp 294 - 296
- Pages
- 3
- Journal Title
- International Conference on Ubiquitous and Future Networks, ICUFN
- Volume
- 2023-July
- Start Page
- 294
- End Page
- 296
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/68187
- DOI
- 10.1109/ICUFN57995.2023.10199773
- ISSN
- 2165-8528
- Abstract
- In this study, we examine eight different object trackers for UAV chasing. The chasing algorithm employs version three of you only look once version (YOLOv3) and the considered object tracker. Following an object tracking benchmark, success rate, precision, and complexity were compared. From the numerical results, it was shown that the proposed UAV chasing algorithm with a tracker achieves improved chasing performance with less computational complexity. © 2023 IEEE.
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Collections - College of ICT Engineering > School of Electrical and Electronics Engineering > 1. Journal Articles
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