Head Gesture Recognition from Time-varying Color Images

摘要

This paper presents an approach for spotting recognition of human head gestures from color image series. The 3D pose of the head relative to the camera is estimated by calculating the primary moment and secondary moment of the skin color region and the hair color region. The standard patterns of each gesture were represented by the sequence of rotation angles in X, Y, Z axis, and the skin area. Moreover, the human heed gestures were recognized by using the CDP (Continuous Dynamic Programming) algorithm to compare input image series with the standard patterns. Extensive experiments show the effectiveness of this approach in the human head gestures recognition from live video sequence with different people even wearing glasses, with different head size, and with unknown complex background.