An active contour-based video object segmentation scheme for stereoscopic video sequences

Ntalianis, K; Doulamis, N; Doulamis, A; Kollias, S

dc.contributor.author	Ntalianis, K	en
dc.contributor.author	Doulamis, N	en
dc.contributor.author	Doulamis, A	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T02:48:56Z
dc.date.available	2014-03-01T02:48:56Z
dc.date.issued	2000	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34128
dc.subject	Active Contour	en
dc.subject	Computational Complexity	en
dc.subject	Depth Map	en
dc.subject	Indexing Terms	en
dc.subject	Unsupervised Segmentation	en
dc.subject	Video Object Segmentation	en
dc.subject	Recursive Shortest Spanning Tree	en
dc.subject	Video Object Plane	en
dc.title	An active contour-based video object segmentation scheme for stereoscopic video sequences	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/MELCON.2000.879993	en
heal.identifier.secondary	http://dx.doi.org/10.1109/MELCON.2000.879993	en
heal.publicationDate	2000	en
heal.abstract	A modified snake-based scheme is presented for unsupervised stereoscopic semantic segmentation. The scheme utilizes the provided depth information and the power of active contours to adjust to object edges. Each stereo pair is analyzed and a depth map is constructed. Then a multiresolution implementation of the recursive shortest spanning tree (RSST) segmentation algorithm is applied to the depth field to	en
heal.journalName	MELECON - IEEE Mediterranean Electrotechnical Conference	en
dc.identifier.doi	10.1109/MELCON.2000.879993	en