Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Various Object Trackers for UAV Chasing of Counter UAV Systems

Authors
Kim, KyubinKim, JaehongLee, Han-GyeolJoung, 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.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of ICT Engineering > School of Electrical and Electronics Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Joung, Jin Gon photo

Joung, Jin Gon
창의ICT공과대학 (전자전기공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE