Facial expression recognition based on motion information between frames

Author

Tang Jinghai ; Zhang Youwei

Author_Institution

Sch. of Electron. & Inf. Eng., Beihang Univ.

Volume

3

fYear

2006

fDate

16-20 2006

Abstract

In this paper, a new technique based on motion information of dynamic images is proposed for expression recognition. The intensity differences of corresponding pixels are calculated from a peak and an initial frame of image sequences, and then expressions are classified based on statistical features extracted from the intensity difference images. With the new technique, most expression information is reserved while the influence of illumination and complexion is eliminated. The contrast trials of person-independent expression recognition are performed on the database of CED-WYU (1.0) and COHN-KANADE, and higher recognition rates are obtained when the new method is used

Keywords

face recognition; feature extraction; image motion analysis; image sequences; statistical analysis; facial expression recognition; image sequences; intensity difference images; motion information; person-independent expression recognition; statistical feature extraction; Data mining; Face recognition; Feature extraction; Hidden Markov models; Image recognition; Lighting; Linear discriminant analysis; Pixel; Principal component analysis; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 2006 8th International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-9736-3

Electronic_ISBN

0-7803-9736-3

Type

conf

DOI

10.1109/ICOSP.2006.345891

Filename

4129162