Facial expression recognition based on motion information between frames

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