dc.creatorFlores, FC
dc.creatorLotufo, RD
dc.date2010
dc.dateNOV
dc.date2014-11-14T23:58:22Z
dc.date2015-11-26T16:09:04Z
dc.date2014-11-14T23:58:22Z
dc.date2015-11-26T16:09:04Z
dc.date.accessioned2018-03-28T22:57:39Z
dc.date.available2018-03-28T22:57:39Z
dc.identifierImage And Vision Computing. Elsevier Science Bv, v. 28, n. 11, n. 1491, n. 1514, 2010.
dc.identifier0262-8856
dc.identifierWOS:000280972800001
dc.identifier10.1016/j.imavis.2009.06.015
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/75952
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/75952
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/75952
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1266526
dc.descriptionIn this paper, it is introduced an interactive method to object segmentation in image sequences, by combining classical morphological segmentation with motion estimation - the watershed from propagated markers. In this method, the objects are segmented interactively in the first frame and the mask generated by its segmentation provides the markers that will be used to track and segment the object in the next frame. Besides the interactivity, the proposed method has the following important characteristics: generality, rapid response and progressive manual edition. This paper also introduces a new benchmark to do quantitative evaluation of assisted object segmentation methods applied to image sequences. The evaluation is done according to several criteria such as the robustness of segmentation and the easiness to segment the objects through the sequence. (C) 2009 Elsevier B.V. All rights reserved.
dc.description28
dc.description11
dc.description1491
dc.description1514
dc.languageen
dc.publisherElsevier Science Bv
dc.publisherAmsterdam
dc.publisherHolanda
dc.relationImage And Vision Computing
dc.relationImage Vis. Comput.
dc.rightsfechado
dc.rightshttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.sourceWeb of Science
dc.subjectMorphological segmentation
dc.subjectImage sequences
dc.subjectMarker propagation
dc.subjectMotion estimation
dc.subjectWatershed from markers
dc.subjectInteractive segmentation
dc.subjectOptical-flow
dc.subjectVideo Segmentation
dc.subjectTracking
dc.subjectPerformance
dc.subjectComputation
dc.subjectMotion
dc.titleWatershed from propagated markers: An interactive method to morphological object segmentation in image sequences
dc.typeArtículos de revistas


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