Tube-embodied gradient vector flow fields for unsupervised video object plane (VOP) segmentation

Ntalianis, KS; Doulamis, ND; Doulamis, AD; Kollias, SD

dc.contributor.author	Ntalianis, KS	en
dc.contributor.author	Doulamis, ND	en
dc.contributor.author	Doulamis, AD	en
dc.contributor.author	Kollias, SD	en
dc.date.accessioned	2014-03-01T02:42:02Z
dc.date.available	2014-03-01T02:42:02Z
dc.date.issued	2001	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30739
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0035167231&partnerID=40&md5=fecc8df393b206d8dbc0854beb375c8e	en
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0035167231&partnerID=40&md5=fecc8df393b206d8dbc0854beb375c8e	en
dc.subject.other	Algorithms	en
dc.subject.other	Calculations	en
dc.subject.other	Edge detection	en
dc.subject.other	Feature extraction	en
dc.subject.other	Partial differential equations	en
dc.subject.other	Video signal processing	en
dc.subject.other	Canny edge detector	en
dc.subject.other	Euler equations	en
dc.subject.other	Gradient vector flow fields	en
dc.subject.other	Stereo analysis method	en
dc.subject.other	Video object plane segmentation	en
dc.subject.other	Image segmentation	en
dc.title	Tube-embodied gradient vector flow fields for unsupervised video object plane (VOP) segmentation	en
heal.type	conferenceItem	en
heal.publicationDate	2001	en
heal.abstract	In this paper constrained Gradient Vector Flow (GVF) field generation is performed, for fast and accurate unsupervised stereoscopic semantic segmentation. The scheme utilizes the information provided by a depth segments map, produced by stereo analysis methods and incorporation of a segmentation algorithm. Then a Canny edge detector is applied to the depth region and produces an edge map. The edge map is used for tube estimation inside which the GVF field evolves. After generation of the GVF field an active contour is unsupervisedly initialized onto the outer bound of the tube. Finally a greedy approach is adopted and the active contour, guided by the GVF field, extracts the VOP. Experimental results on real life stereoscopic video sequences indicate the efficiency of the proposed scheme.	en
heal.journalName	IEEE International Conference on Image Processing	en
dc.identifier.volume	2	en
dc.identifier.spage	637	en
dc.identifier.epage	640	en