There are many difficulties for face detection in video. For examples: the lighting may be insufficient or too bright, many moving objects overlap each other, and so on. This paper proposes a dynamic face detection system to overcome the above difficulties by using a fast approach. At first, the moving regions are found by using image subtraction. To reduce the impact of the light, we use YIQ color model to detect the regions of skins and HSV color model to detect the positions of faces. That is, we combine color-based and feature-based approaches to enhance the features of faces and to avoid the influence of the lighting conditions. At last, the proposed system are evaluated and analyzed by the video from the 2007 IPPR contest.
