DocumentCode :
2591382
Title :
Simultaneous facial action tracking and expression recognition using a particle filter
Author :
Dornaika, Fadi ; Davoine, Franck
Author_Institution :
Comput. Vision Center, Barcelona Autonomous Univ.
Volume :
2
fYear :
2005
fDate :
17-21 Oct. 2005
Firstpage :
1733
Abstract :
The recognition of facial gestures and expressions in image sequences is an important and challenging problem. Most of the existing methods adopt the following paradigm. First, facial actions/features are retrieved from the images, and then facial expressions are recognized based on the retrieved temporal parameters. Unlike this main strewn, this paper introduces a new approach allowing the simultaneous recovery of facial actions and expression using a particle filter adopting, multiclass dynamics that are conditioned on the expression. For each frame in the video sequence, our approach is split in two consecutive stages. In the first stage, the 3D head pose is recovered using a deterministic registration technique based on online appearance models. In the second stage, the facial actions as well as the facial expression are simultaneously recovered using the stochastic framework with, mixed states. The proposed fast scheme is either as robust as existing ones or more robust with respect to many regards. Experimental results show the feasibility and robustness of the proposed approach
Keywords :
face recognition; gesture recognition; image restoration; image sequences; stochastic processes; 3D head pose recovery; deterministic registration; expression recognition; facial action tracking; facial features; facial gesture recognition; image sequences; online appearance models; particle filter; video sequence; Face recognition; Head; Image recognition; Image retrieval; Image sequences; Particle filters; Particle tracking; Robustness; Stochastic processes; Video sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on
Conference_Location :
Beijing
ISSN :
1550-5499
Print_ISBN :
0-7695-2334-X
Type :
conf
DOI :
10.1109/ICCV.2005.225
Filename :
1544926
Link To Document :
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