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Improvement of the KCF tracking algorithm through object detection

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dc.contributor.authorPark, Jae-wan-
dc.contributor.authorKim, , Sungjoong-
dc.contributor.authorLee, Youngjae-
dc.contributor.authorJoe, Inwhee-
dc.date.accessioned2022-07-12T20:02:02Z-
dc.date.available2022-07-12T20:02:02Z-
dc.date.issued2018-00-
dc.identifier.issn2227-524X-
dc.identifier.issn2227-524X-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/150901-
dc.description.abstractWhen the position of the beam projector is changed, users have to manually adjust the position. In this paper, we propose a system that can automatically correct images. In this process, the KCF (Kernelized Correlation Filter) algorithm is used for tracking the IR (Infrared) markers. We analyze the object tracking failure problem of the KCF and improve the KCF tracking algorithm that solves the problem through object detection.-
dc.format.extent2-
dc.language영어-
dc.language.isoENG-
dc.publisherScience Publishing Corporation Inc-
dc.titleImprovement of the KCF tracking algorithm through object detection-
dc.typeArticle-
dc.publisher.location카타르-
dc.identifier.doi10.14419/ijet.v7i4.4.19594-
dc.identifier.scopusid2-s2.0-85053456303-
dc.identifier.bibliographicCitationInternational Journal of Engineering and Technology(UAE), v.7, no.4, pp 11 - 12-
dc.citation.titleInternational Journal of Engineering and Technology(UAE)-
dc.citation.volume7-
dc.citation.number4-
dc.citation.startPage11-
dc.citation.endPage12-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordAuthorColor space-
dc.subject.keywordAuthorDetection-
dc.subject.keywordAuthorHistogram-
dc.subject.keywordAuthorKCF algorithm-
dc.subject.keywordAuthorTracking-
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서울 공과대학 > 서울 컴퓨터소프트웨어학부 > 1. Journal Articles

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