Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/1758
Title: Face exemplars selection from video streams for online learning
Authors: Castrillon-Santana, M. 
Déniz Suárez, Oscar
Lorenzo-Navarro, J. 
Hernandez-Tejera, M. 
UNESCO Clasification: 120304 Inteligencia artificial
Keywords: Reconocimiento facial
Informática
Issue Date: 2005
Journal: Proceedings - 2nd Canadian Conference on Computer and Robot Vision, CRV 2005
Conference: 2nd Canadian Conference on Computer and Robot Vision 
2nd Canadian Conference on Computer and Robot Vision, CRV 2005 
Abstract: This paper tackles the problem of online acquisition of exemplars for dynamic updating of classifiers for facial analysis. Most facial analysis systems apply a previously computed classifier to a set of images, or recently to the output of real-time face detection systems. Here we describe an approach to select significant detected faces during interactive sessions in order to learn and modify online, with the initial\r\nhelp of an expert, a classifier for a given task. Preliminary experiments are reported related to gender recognition.
URI: http://hdl.handle.net/10553/1758
ISBN: 0-7695-2319-6
9780769523194
DOI: 10.1109/CRV.2005.41
Source: Proceedings - 2nd Canadian Conference on Computer and Robot Vision, CRV 2005 (1443147), p. 314-321
Appears in Collections:Actas de congresos
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