Head Behavior Detection Method Based on Optical Flow Theory

Abstract

In order to make the intelligent virtual classroom distinguish out the rotation direction of the user's head, a method for head behavior detection based on optical flow is proposed in this paper. Firstly, we select the key feature points of user's facial area. Then we calculate the user's head movement parameter through the data of feature points which have been recorded. Secondly, a kind of head direction sensing model has been provided for detecting the head identified parameters. Finally, according to the interaction mechanism of the interaction scenario, intelligent virtual classroom will respond to the user's head movement based on the result of the head direction judgment. By online tests, the results show that the method is of high recognition rate and quick real-time.