DocumentCode :
3443183
Title :
Robust real-time detection, tracking, and pose estimation of faces in video streams
Author :
Huang, Kohsia S. ; Trivedi, Mohan M.
Author_Institution :
Comput. Vision & Robotics Res. Lab., California Univ., San Diego, CA, USA
Volume :
3
fYear :
2004
fDate :
23-26 Aug. 2004
Firstpage :
965
Abstract :
Robust human face analysis has been recognized as a crucial part in intelligent systems. In this paper, we present the development of a computational framework for robust detection, tracking, and pose estimation of faces captured by video arrays. We discuss the development of a multi-primitive skin-tone and edge-based detection module embedded in a tracking module for efficient and robust face detection and tracking. A continuous density HMM based pose estimation is developed for an accurate estimate of the face orientation motions. Experimental evaluations of these algorithms suggest the validity of the proposed framework and its computational modules.
Keywords :
edge detection; face recognition; hidden Markov models; motion estimation; video streaming; continuous density HMM; edge based detection module; face orientation motion estimation; face pose estimation; face tracking module; intelligent systems; multiprimitive skin tone module; robust human face analysis; robust real time face detection; video arrays; video streams; Cameras; Computer vision; Face detection; Face recognition; Humans; Intelligent robots; Intelligent systems; Noise robustness; Skin; Streaming media;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-2128-2
Type :
conf
DOI :
10.1109/ICPR.2004.1334689
Filename :
1334689
Link To Document :
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