关键词: 肤色检测 AdaBoost肤色分布 YCrCb色度空间 圆形分类器

Abstract:

Skin-tone color is a powerful fundamental cue that can be used at an early stage to detect faces in complex scene images. This paper presents a method for detecting skin-tone regions in color images based on the AdaBoost algorithrm Based on the clustering property of skin-tone color distribution in the chrominance space, we adopt a set of circle classifiers as simple ＂rules＂ which are trained via AdaBoost to form a strengthened classifier. The stre engthened classifier has an outstanding ability for describing the distribution of skin-tone color in the YCrCb space. The results in this paper show th at our method can provide robust detection with a low error rate and is applicable in the application of skin-tone detection.

Key words: skin-tone detection, AdaBoost, skin-tone color distribution, YCrCb chrominance space, circle classifier