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dc.contributor.authorDibos, Françoise
dc.contributor.authorRanchin, Florent
dc.date.accessioned2011-09-13T15:42:16Z
dc.date.available2011-09-13T15:42:16Z
dc.date.issued2003
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/6949
dc.language.isoenen
dc.subjectSegmentationen
dc.subjectedge and feature detectionen
dc.subject.ddc519en
dc.titleMoving Objects Segmentation Using Optical Flow Estimationen
dc.typeDocument de travail / Working paper
dc.description.abstractenIn this paper, we present a new method for the segmentation of moving objects. We use one of the most powerful variational method for computing the optical ow and we exploit this information in the segmentation. This segmentation lies on well- known techniques of active contours. Since we can distinguish moving objects from static elements of a scene by analyzing norm of the optical ow vectors, this one is incorporated in a region-based active contour model in order to attract the evolving contour to moving objects contours. We also take gray level into account since it is known that optical ow information does not give the exact contours of the objects. The results provided are promising and extend the numerous works on this subject.en
dc.publisher.nameUniversité Paris-Dauphineen
dc.publisher.cityParisen
dc.identifier.citationpages15en
dc.relation.ispartofseriestitleCahiers du Ceremadeen
dc.relation.ispartofseriesnumber43en
dc.description.sponsorshipprivateouien
dc.subject.ddclabelProbabilités et mathématiques appliquéesen


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