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Color active shape models for tracking non-rigid objects

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dc.contributor.authorKoschan, A-
dc.contributor.authorKang, SK-
dc.contributor.authorPaik, Joonki-
dc.contributor.authorAbidi, B-
dc.contributor.authorAbidi, M-
dc.date.available2020-06-04T06:20:30Z-
dc.date.issued2003-07-
dc.identifier.issn0167-8655-
dc.identifier.issn1872-7344-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/40274-
dc.description.abstractActive shape models can be applied to tracking non-rigid objects in video image sequences. Traditionally these models do not include color information in their formulation. In this paper, we present a hierarchical realization of an enhanced active shape model for color video tracking and we study the performance of both hierarchical and non-hierarchical implementations in the RGB, YUV, and HSI color spaces. (C) 2002 Elsevier Science B.V. All rights reserved.-
dc.format.extent15-
dc.language영어-
dc.language.isoENG-
dc.publisherELSEVIER-
dc.titleColor active shape models for tracking non-rigid objects-
dc.typeArticle-
dc.identifier.doi10.1016/S0167-8655(02)00330-6-
dc.identifier.bibliographicCitationPATTERN RECOGNITION LETTERS, v.24, no.11, pp 1751 - 1765-
dc.description.isOpenAccessN-
dc.identifier.wosid000182147200010-
dc.identifier.scopusid2-s2.0-0037411292-
dc.citation.endPage1765-
dc.citation.number11-
dc.citation.startPage1751-
dc.citation.titlePATTERN RECOGNITION LETTERS-
dc.citation.volume24-
dc.type.docTypeArticle; Proceedings Paper-
dc.publisher.location네델란드-
dc.subject.keywordAuthorvideo tracking-
dc.subject.keywordAuthorcolor information-
dc.subject.keywordAuthoractive shape model-
dc.subject.keywordAuthorimage pyramid-
dc.subject.keywordPlusSEGMENTATION-
dc.subject.keywordPlusPEOPLE-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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첨단영상대학원 (영상학과)
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