Multi-target tracking by enhancing the kernelised correlation filter-based tracker
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kwon, Junseok | - |
dc.contributor.author | Kim, K. | - |
dc.contributor.author | Cho, K. | - |
dc.date.available | 2019-03-08T07:57:07Z | - |
dc.date.issued | 2017-09 | - |
dc.identifier.issn | 0013-5194 | - |
dc.identifier.issn | 1350-911X | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/3918 | - |
dc.description.abstract | A new tracking method based on the kernelised correlation filter (KCF) method is proposed. The tracker improves KCF-based trackers by adding seven proposed components, namely, the motion model, background subtraction, occlusion handling, hijacking handling, object proposal, bounding box modification, and object re-detection. With these components, the tracker robustly tracks multiple targets despite severe occlusion, rapid motion, and the presence of other objects with similar appearance. The visual tracking performance is evaluated by using challenging basketball game videos. Experiments demonstrate that the tracker outperforms the original KCF tracker and other state-of-the-art tracking methods. | - |
dc.format.extent | 2 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | INST ENGINEERING TECHNOLOGY-IET | - |
dc.title | Multi-target tracking by enhancing the kernelised correlation filter-based tracker | - |
dc.type | Article | - |
dc.identifier.doi | 10.1049/el.2017.2129 | - |
dc.identifier.bibliographicCitation | ELECTRONICS LETTERS, v.53, no.20, pp 1358 - 1359 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000411812200012 | - |
dc.identifier.scopusid | 2-s2.0-85030176512 | - |
dc.citation.endPage | 1359 | - |
dc.citation.number | 20 | - |
dc.citation.startPage | 1358 | - |
dc.citation.title | ELECTRONICS LETTERS | - |
dc.citation.volume | 53 | - |
dc.type.docType | Article | - |
dc.publisher.location | 영국 | - |
dc.subject.keywordAuthor | target tracking | - |
dc.subject.keywordAuthor | image motion analysis | - |
dc.subject.keywordAuthor | object detection | - |
dc.subject.keywordAuthor | correlation methods | - |
dc.subject.keywordAuthor | filtering theory | - |
dc.subject.keywordAuthor | video signal processing | - |
dc.subject.keywordAuthor | sport | - |
dc.subject.keywordAuthor | object tracking | - |
dc.subject.keywordAuthor | multitarget tracking | - |
dc.subject.keywordAuthor | kernelised correlation filter-based tracker | - |
dc.subject.keywordAuthor | KCF-based trackers | - |
dc.subject.keywordAuthor | motion model | - |
dc.subject.keywordAuthor | background subtraction | - |
dc.subject.keywordAuthor | occlusion handling | - |
dc.subject.keywordAuthor | hijacking handling | - |
dc.subject.keywordAuthor | object proposal | - |
dc.subject.keywordAuthor | bounding box modification | - |
dc.subject.keywordAuthor | object redetection | - |
dc.subject.keywordAuthor | visual tracking performance evaluation | - |
dc.subject.keywordAuthor | basketball game videos | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.description.journalRegisteredClass | sci | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
84, Heukseok-ro, Dongjak-gu, Seoul, Republic of Korea (06974)02-820-6194
COPYRIGHT 2019 Chung-Ang University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.