A vision-based hybrid method for facial expression recognition

Authors:
X. Huang;Y. Lin
Affiliations:
Northeastern University, Boston, MA;Northeastern University, Boston, MA
Venue:
Proceedings of the 1st international conference on Ambient media and systems
Year:
2008

Citing 12
Cited 2

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Abstract

Facial expression is a very useful channel for intelligent human computer communication. In this paper we propose a hybrid method to recognize facial expression. Our main contributions in this study are: first, face region is detected by combing Adaboost, Skin color model and motion history image; second, feature points representing different facial expressions are separated using optical flow; third, a support vector machine classifier is used to classify these feature point's info (location, distance, angle); last, tests to explore the whole facial expression recognition process are conducted and the results are satisfactory.