Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/17670
Title: Detection of frontal faces in video streams
Authors: Castrillón Santana, M. 
Lorenzo Navarro, J. 
Cabrera Gámez, J. 
Hernández Tejera, F. M. 
Méndez Rodríguez, Juan Ángel 
UNESCO Clasification: 120304 Inteligencia artificial
Issue Date: 2002
Journal: Lecture Notes in Computer Science 
Abstract: This paper describes an approach for detection of frontal faces in real time (20-35Hz) for further processing. This approach makes use of a combination of previous detection tracking and color for selecting interest areas. On those areas, later facial features such as eyes, nose and mouth are searched based on geometric tests, appearance veri cation, temporal and spatial coherence. The system makes use of very simple techniques applied in a cascade approach, combined and coordinated with temporal information for improving performance. This module is a component of a complete system designed for detection, tracking and identi cation of individuals [1].
URI: http://hdl.handle.net/10553/17670
ISSN: 0302-9743
DOI: 10.1007/3-540-47917-1_10

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10.1007/3-540-47917-1_10

Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 2359, p. 91-102
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