Paper Info
Title
Real-Time facial expression recognition system based on HMM and feature point localization
Abstract
It is difficult for computer to recognize facial expression in real-time. Until now, no good method is put forward to solve this problem in and abroad. In this paper, we present an effective automated system that we developed to recognize facial gestures in real-time. According to psychologists’ facial expression classification, we define four basic facial expressions and localize key facial feature points exactly then extract facial components’ contours. We analyze and record facial components’ movements using information in sequential frames to recognize facial gestures. Since different facial expressions can have some same movements, it is necessary to use a good facial expression model to describe the relation between expression states and observed states of facial components’ movements for achieving a good recognition results. HMM is such a good method which can meet our requirement. We present a facial expression model based on HMM and get good real-time recognition results.
Year
DOI
Venue
2005
10.1007/11573548_27
ACII
Keywords
Field
DocType
facial expression model,different facial expression,good method,feature point localization,facial expression,basic facial expression,localize key facial feature,facial component,real-time facial expression recognition,facial gesture,good facial expression model,facial expression classification,real time
Facial recognition system,Face hallucination,Facial Action Coding System,Gesture,Computer science,Markov model,Speech recognition,Facial expression,Hidden Markov model,User interface
Conference
Volume
ISSN
ISBN
3784
0302-9743
3-540-29621-2
Citations 
PageRank 
References 
0
0.34
3
Authors
5
Name
Order
Citations
PageRank
Yumei Fan100.68
Ning Cheng200.68
xie310636.98
Jiwei Liu400.68
Changsheng Zhu523.45