Object tracking in clutter and partial occlusion through rule-driven utilization of Snakes

Tsechpenakis, G; Rapatzikos, K; Tsapatsoulis, N; Kollias, S

dc.contributor.author	Tsechpenakis, G	en
dc.contributor.author	Rapatzikos, K	en
dc.contributor.author	Tsapatsoulis, N	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T02:49:20Z
dc.date.available	2014-03-01T02:49:20Z
dc.date.issued	2003	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34530
dc.subject	Deformable Template	en
dc.subject	Moving Object	en
dc.subject	Object Tracking	en
dc.subject	Shape Modeling	en
dc.subject	Video Processing	en
dc.subject	Video Object	en
dc.title	Object tracking in clutter and partial occlusion through rule-driven utilization of Snakes	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICME.2003.1221250	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICME.2003.1221250	en
heal.publicationDate	2003	en
heal.abstract	Efficient moving object tracking in cases of partial occlusion is a challenging task for the researchers in the fields of computer vision and video processing. In modern coding standards, like MPEG-4 and MPEG-7, the term of video objects is used to define moving objects in a video sequence. Automatic extraction of such objects is by no means trivial, and occlusion	en
heal.journalName	International Conference on Multimedia Computing and Systems/International Conference on Multimedia and Expo	en
dc.identifier.doi	10.1109/ICME.2003.1221250	en