黄知超,张鹏,赵华荣,赵文明

• 1:桂林电子科技大学机电工程学院

摘要(Abstract)：

针对智能视频监控中人脸检测受复杂环境以及多姿态人脸的影响,采用一种基于肤色特征与Ada Boost算法相结合的方法,提取两种算法各自优点并加以优化,其主要思想是利用肤色特征建立肤色模型,选出含有人脸预检测肤色区域,进行人脸样本训练,提取人脸样本Haar特征,进行弱分类器训练,利用迭代的方法,再将不同的弱分类器组合成强分类器,最后形成级联分类器,运用级联分类器检测含有人脸的肤色区域。实验结果表明,该方法不仅提高了智能视频监控中人脸检测的效率和准确性,而且具有较好的鲁棒性。

关键词(KeyWords)： 人脸检测;肤色特征;Ada Boost算法;弱分类器训练;级联分类器;视频监控

Abstract:

Keywords:

基金项目(Foundation): 广西教育厅项目(2015JGA202);; 研究生创新项目(2016YJCX107)~~

作者(Author): 黄知超,张鹏,赵华荣,赵文明

DOI: 10.16652/j.issn.1004-373x.2018.07.015

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