Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/17651
Título: Real-time detection of faces in video streams
Autores/as: Castrillon-Santana, M. 
Déniz Suárez, Oscar
Guerra Artal, Cayetano Nicolás
Hernandez-Tejera, M. 
Clasificación UNESCO: 120304 Inteligencia artificial
Fecha de publicación: 2005
Publicación seriada: Proceedings - 2nd Canadian Conference on Computer and Robot Vision, CRV 2005
Conferencia: 2nd Canadian Conference on Computer and Robot Vision 
2nd Canadian Conference on Computer and Robot Vision, CRV 2005 
Resumen: 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
Fuente: Proceedings - 2nd Canadian Conference on Computer and Robot Vision, CRV 2005 (1443145), p. 298-305
Colección:Actas de congresos
miniatura
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Este elemento está sujeto a una licencia Licencia Creative Commons Creative Commons