关键词: AdaBoost算法, 自适应肤色建模, 多颜色空间, 肤色概率图, 信息融合

Abstract: Due to different illumination，skin color and racial factors in practical world，normally it is hard to establish a general skin model to detect all the bare skin.In this paper，an adaptive skin modeling method is studied，i.e.，faces are detected by means of AdaBoost algorithm，and skin modeling is performed by using these detected face regions.In order to achieve good modeling performance，the detected face regions are properly reduced，and a special information fusion technology “AND” operation is used in multiple color spaces.This algorithm does not need to consider illumination，skin color and racial factors，and is an adaptive skin modeling method.Experiment shows that this method can effectively solve most of skin detection problems in color images.

Key words: AdaBoost algorithm, adaptive skin color modeling, multiple color space, skin probability map, information fusion