IFTrace: Video segmentation of deformable objects using the Image Foresting Transform

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dc.contributor.authorMinetto, R.
dc.contributor.authorSpina, T. V.
dc.contributor.authorFalcao, A. X.
dc.contributor.authorLeite, N. J.
dc.contributor.authorPapa, João Paulo [UNESP]
dc.contributor.authorStolfi, J.
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T13:25:57Z
dc.date.available2014-05-20T13:25:57Z
dc.date.issued2012-02-01
dc.description.abstractWe introduce IFTrace, a method for video segmentation of deformable objects. The algorithm makes minimal assumptions about the nature of the tracked object: basically, that it consists of a few connected regions, and has a well-defined border. The objects to be tracked are interactively segmented in the first frame of the video, and a set of markers is then automatically selected in the interior and immediate surroundings of the object. These markers are then located in the next frame by a combination of KLT feature finding and motion extrapolation. Object boundaries are then identified from these markers by the Image Foresting Transform (IFT). These steps are repeated for all subsequent frames until the end of the movie. Thanks to the IFT and a special boundary detection operator, IFTrace can reliably track deformable objects in the presence of partial and total occlusions, camera motion, lighting and color changes, and other complications. Tests on real videos show that the IFT is better suited to this task than Graph-Cut methods, and that IFTrace is more robust than other state-of-the art algorithms - namely, the OpenCV Snake and Cam-Shift algorithms, Hess's Particle-Filter, and Zhong and Chang's method based on spatio-temporal consistency. (C) 2011 Elsevier B.V. All rights reserved.en
dc.description.affiliationUniv Estadual Campinas, UNICAMP, Inst Comp, Campinas, SP, Brazil
dc.description.affiliationUniv Estadual Paulista, Dept Comp, Bauru, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Dept Comp, Bauru, Brazil
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipIdFAPESP: 07/54201-6
dc.description.sponsorshipIdFAPESP: 09/11908-8
dc.description.sponsorshipIdFAPESP: 07/52015-0
dc.description.sponsorshipIdFAPESP: 09/16206-1
dc.description.sponsorshipIdCNPq: 481556/2009-5
dc.description.sponsorshipIdCNPq: 472402/2007-2
dc.description.sponsorshipIdCNPq: 306631/2007-5
dc.description.sponsorshipIdCNPq: 303673/2010-9
dc.description.sponsorshipIdCAPES: 592/08
dc.format.extent274-291
dc.identifierhttp://dx.doi.org/10.1016/j.cviu.2011.10.003
dc.identifier.citationComputer Vision and Image Understanding. San Diego: Academic Press Inc. Elsevier B.V., v. 116, n. 2, p. 274-291, 2012.
dc.identifier.doi10.1016/j.cviu.2011.10.003
dc.identifier.issn1077-3142
dc.identifier.lattes9039182932747194
dc.identifier.urihttp://hdl.handle.net/11449/8292
dc.identifier.wosWOS:000299365400009
dc.language.isoeng
dc.publisherAcademic Press Inc. Elsevier B.V.
dc.relation.ispartofComputer Vision and Image Understanding
dc.relation.ispartofjcr2.391
dc.relation.ispartofsjr0,717
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectSegmentation/tracking of moving objectsen
dc.subjectObject delineationen
dc.subjectImage/video segmentationen
dc.subjectImage Foresting Transformen
dc.subjectGraph-based image segmentationen
dc.titleIFTrace: Video segmentation of deformable objects using the Image Foresting Transformen
dc.typeArtigo
dcterms.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dcterms.rightsHolderAcademic Press Inc. Elsevier B.V.
unesp.author.lattes9039182932747194
unesp.author.orcid0000-0002-6494-7514[5]
unesp.author.orcid0000-0001-5015-2131[4]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Ciências, Baurupt
unesp.departmentComputação - FCpt

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