Efficient content-based retrieval of humans from video databases

Doulamis, N; Doulamis, A; Kollias, S

dc.contributor.author	Doulamis, N	en
dc.contributor.author	Doulamis, A	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T02:48:43Z
dc.date.available	2014-03-01T02:48:43Z
dc.date.issued	1999	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34043
dc.subject	Content Based Retrieval	en
dc.subject	Efficient Algorithm	en
dc.subject	Graph Representation	en
dc.subject	Probabilistic Model	en
dc.subject	Spatial Relationships	en
dc.subject	Speaker Identification	en
dc.subject	Video Database	en
dc.subject	Video Surveillance	en
dc.title	Efficient content-based retrieval of humans from video databases	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/RATFG.1999.799229	en
heal.identifier.secondary	http://dx.doi.org/10.1109/RATFG.1999.799229	en
heal.publicationDate	1999	en
heal.abstract	An efficient algorithm for humans' retrieval from large video databases is presented in this paper. Such an extraction is very useful for a variety of applications, including video surveillance for security purposes and systems of speaker identification. A human face and body detector is first proposed, based on a simple probabilistic model, to approximately estimate human face and body regions.	en
heal.journalName	International Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems	en
dc.identifier.doi	10.1109/RATFG.1999.799229	en