Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/17651
Title: Real-time detection of faces in video streams
Authors: Castrillon-Santana, M. 
Déniz Suárez, Oscar
Guerra Artal, Cayetano Nicolás
Hernandez-Tejera, M. 
UNESCO Clasification: 120304 Inteligencia artificial
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 describes a face detection system which goes beyond traditional approaches normally designed for still images. First the video stream context is considered to apply the detector, and therefore, the resulting system is designed taking into consideration a main feature available in a video stream, i.e. temporal coherence. The resulting system builds a feature based model for each detected face, and searches them using various model information in the next frame. The results achieved for video stream processing outperform Rowley-Kanade's and Viola-Jones' solutions providing eye and face data in a reduced time with a notable correct detection rate.
URI: http://hdl.handle.net/10553/17651
ISBN: 0-7695-2319-6
9780769523194
DOI: 10.1109/CRV.2005.64
Source: Proceedings - 2nd Canadian Conference on Computer and Robot Vision, CRV 2005 (1443145), p. 298-305
Appears in Collections:Actas de congresos
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