DocumentCode :
431541
Title :
Facial Action Tracking Using an AAM-Based Condensation Approach
Author :
Hamlaoui, Soumya ; Davoine, Franck
Author_Institution :
Lab. HEUDIASYC-CNRS, Univ. de Technol. de Compiegne, France
Volume :
2
fYear :
2005
fDate :
March 18-23, 2005
Firstpage :
701
Lastpage :
704
Keywords :
Monte Carlo methods; face recognition; feature extraction; video signal processing; AAM; CONDENSATION algorithm; Monte Carlo technique; active appearance model; deterministic search; facial action tracking; facial feature tracking; near-frontal view face tracking; observation model distance measure; occlusions; particle filtering; video sequence; Active appearance model; Bayesian methods; Current measurement; Facial features; Filtering; Monte Carlo methods; Robustness; State-space methods; Stochastic processes; Target tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-8874-7
Type :
conf
DOI :
10.1109/ICASSP.2005.1415501
Filename :
1415501
Link To Document :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=431541
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