Study of Face Detection Algorithm for Real-time Face Detection System

In this paper, the algorithm of face detection based on AdaBoost was studied, which is the multi-classifier cascade face detection algorithm and can attain real-time face detection in the system. It is a algorithm to automatically generate cascade classifier in the training process, which can effectively avoid the phenomenon of over trained. Compare to traditional AdaBoost face detection algorithm and feature subspace algorithm, the detection rate of the algorithm mentioned in this paper is not only higher nearly 10 percent, the detection velocity is also improved by more than one times. Also it is very robust to the illumination, pose etc variations and suitable for the real-time face detection system.