Face detection based on skin color and AdaBoost algorithm

This paper proposes a face detection algorithm of combining skin color segmentation and AdaBoost algorithm. The algorithm set up the skin Gaussian model in YCbCr color space using skin color clustering characteristics. Then sort out the region of skin color, use AdaBoost algorithm to train a classifier to detect face in the image. Based on our experiments, the proposed method shows good results with significant improvements of low error detection rate and better detection speed in both simple and complex background.