Fast face location method for video surveillance system

In this paper, a fast face location method for video surveillance is presented, which combines the motion information and skin-color feature. Firstly, symmetrical frame difference is used to acquire the motion area. Then, the skin-color segmentation algorithm based on BP (back-error-propagation) neural network is used to extract the face candidates in the motion area. Finally, the candidate face regions are examined with the knowledge of human face. The experimental results show that the proposed algorithm has high speed and low error-detection rate, so it can be used in the real-time video surveillance system.