Face detection using combination of skin color pixel detection and Viola-Jones face detector

G. Luh
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引用次数: 24

Abstract

This paper presents a human face detection scheme by combining a novel hybrid color models and Viola-Jones face detector. A hybrid skin color model RGB-CbCrCg was proposed for classifying skin and non-skin pixels. The extraction of skin region is carried out using a set of bounding rules optimized employing multi-objective differential evolution method. Afterward the segmented face regions are identified using Viola-Jones algorithm built in MATLAB Computer Vision System Toolbox™. The performances of skin and face detection were evaluated using the ECU face and skin database. Experimental results show that the proposed scheme outperforms the other skin color space methods.
结合肤色像素检测和Viola-Jones人脸检测器的人脸检测
本文提出了一种新的混合颜色模型与Viola-Jones人脸检测器相结合的人脸检测方案。提出了一种用于皮肤和非皮肤像素分类的混合肤色模型RGB-CbCrCg。皮肤区域的提取采用多目标差分进化方法优化的一组边界规则。随后,使用MATLAB计算机视觉系统工具箱™中构建的Viola-Jones算法对分割的人脸区域进行识别。利用ECU人脸和皮肤数据库对皮肤和面部检测的性能进行了评价。实验结果表明,该方法优于其他肤色空间方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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