A face detection method based on higher order statistics is proposed in this paper. Firstly, the object model and noise model are established to extract moving object from the background according to the fact that higher order statistics is nonsense to Gaussian noise. Secondly, the improved Sobel operator is used to extract the edge image of moving object. And a projection function is used to detect the face in the edge image. Lastly, PCA(Principle Component Analysis) method is used to do face recognition. The performance of the system is evaluated on the real video sequences. It is shown that the proposed method is simple and robust to the detection of human faces in the video sequences.
This paper introduces a new type of infrared light source constructed by silicon micro-bridge manufactured on silicon substrate using MEMS technique. Electric current flowing through the micro-bridge makes its temperature goes up and radiates infrared light as traditional lamp. A simulation of characteristics of the infrared standard source calculated by finite element method is consistent with the test value. The radiation power, depending on micro-bridge size, is obtained from 1mW to 500 mW. The infrared light source can use electric chopping instead of mechanical chopping as traditional lamp for it's fast response time with typical 4 ms.