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Various Object Trackers for UAV Chasing of Counter UAV Systems

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dc.contributor.authorKim, Kyubin-
dc.contributor.authorKim, Jaehong-
dc.contributor.authorLee, Han-Gyeol-
dc.contributor.authorJoung, Jingon-
dc.date.accessioned2023-10-20T02:40:50Z-
dc.date.available2023-10-20T02:40:50Z-
dc.date.issued2023-07-
dc.identifier.issn2165-8528-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/68187-
dc.description.abstractIn 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.-
dc.format.extent3-
dc.language영어-
dc.language.isoENG-
dc.publisherIEEE Computer Society-
dc.titleVarious Object Trackers for UAV Chasing of Counter UAV Systems-
dc.typeArticle-
dc.identifier.doi10.1109/ICUFN57995.2023.10199773-
dc.identifier.bibliographicCitationInternational Conference on Ubiquitous and Future Networks, ICUFN, v.2023-July, pp 294 - 296-
dc.description.isOpenAccessN-
dc.identifier.scopusid2-s2.0-85169290728-
dc.citation.endPage296-
dc.citation.startPage294-
dc.citation.titleInternational Conference on Ubiquitous and Future Networks, ICUFN-
dc.citation.volume2023-July-
dc.type.docTypeConference paper-
dc.publisher.location미국-
dc.subject.keywordAuthorobject tracker-
dc.subject.keywordAuthorUnmanned aerial vehicles (UAV)-
dc.subject.keywordAuthorYOLO-
dc.description.journalRegisteredClassscopus-
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