Color Model based real-time Face Detection with AdaBoost in color image

Face detection plays an important role in Computer Vision. In the past few years, much effort has been put into this field. Some approaches are based on Color Model which is highly expensive. Viola and Jones proposed a real-time approach based on AdaBoost, but it suffered from the risk of overfitting. In this paper, we propose a method to take advantage of Color Model and AdaBoost. A novel Face Region Model will be proposed so as to eliminate a large quantity of non-face regions in only several milliseconds. Skin Strong Classifiers will be trained based on color. Thereafter, the remained regions will be presented into AdaBoost System for refining. Experiment shows that our approach is even faster. Its error rate is lower than or at least equal to Viola and Jones´.