People Recognition in Image Sequences by Supervised Learning

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/7230

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DC Field	Value	Language
dc.creator	Nakajima, Chikahito	-
dc.creator	Pontil, Massimiliano	-
dc.creator	Heisele, Bernd	-
dc.creator	Poggio, Tomaso	-
dc.date	2004-10-20T21:03:31Z	-
dc.date	2004-10-20T21:03:31Z	-
dc.date	2000-06-01	-
dc.date.accessioned	2013-10-09T02:48:36Z	-
dc.date.available	2013-10-09T02:48:36Z	-
dc.date.issued	2013-10-09	-
dc.identifier	AIM-1688	-
dc.identifier	CBCL-188	-
dc.identifier	http://hdl.handle.net/1721.1/7230	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	We describe a system that learns from examples to recognize people in images taken indoors. Images of people are represented by color-based and shape-based features. Recognition is carried out through combinations of Support Vector Machine classifiers (SVMs). Different types of multiclass strategies based on SVMs are explored and compared to k-Nearest Neighbors classifiers (kNNs). The system works in real time and shows high performance rates for people recognition throughout one day.	-
dc.format	4611797 bytes	-
dc.format	373760 bytes	-
dc.format	application/postscript	-
dc.format	application/pdf	-
dc.language	en_US	-
dc.relation	AIM-1688	-
dc.relation	CBCL-188	-
dc.title	People Recognition in Image Sequences by Supervised Learning	-
Appears in Collections:	MIT Items

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