A new method of facial action extraction and expression recognition of person without language

In this paper, a method to extract the facial actions and recognize the expressions of a person without language is presented. In this proposed method, a difference image of two successive frames of an image sequence, and a corresponding I component image in YIQ image representation were combined to extract the facial action and detect the facial region. The optical flows of the corresponding image sequence, which appeared in the facial actions, were computed. Based on the optical flow projection histogram on X and Y coordinate axes in the mouth region and the eye region, the motion features of facial expressions were extracted to compose the associated memory model of the facial expressions. By utilizing this model, the facial expressions were recognized