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基于人体关键部位检测的敏感图像过滤方法
引用本文:陆蓓,巩玉旺,姚金良,周建政.基于人体关键部位检测的敏感图像过滤方法[J].计算机应用与软件,2011,28(4).
作者姓名:陆蓓  巩玉旺  姚金良  周建政
作者单位:1. 杭州电子科技大学计算机学院,浙江,杭州,310018
2. 天格科技(杭州)有限公司,浙江,杭州,310000
基金项目:浙江省科技厅重大专项项目(2010C11049)
摘    要:目前多数敏感图像过滤方法对皮肤裸露较多或类肤色区域较多的图像容易产生误检。为降低对这类图像的误检率,提出一种基于人体关键部位检测的敏感图像过滤方法。该方法提取肤色特征、表征局部对象外观和形状的HOG(Histograms of Orien-ted Gradient)特征、空间分布特征及描述区域灰度分布的Haar-like等特征,利用Adaboost学习算法,训练得到人体关键部位的分类器,通过此分类器实现敏感图像的过滤。实验表明,该方法能够准确地检测关键部位,可以有效地降低敏感图像的误检率。

关 键 词:敏感图像过滤  Adaboost学习算法  肤色特征  HOG特征  

PORNOGRAPHIC IMAGE FILTERING METHOD BASED ON EROTOGENIC-ZONE DETECTION
Lu Bei,Gong Yuwang,Yao Jinliang,Zhou Jianzheng.PORNOGRAPHIC IMAGE FILTERING METHOD BASED ON EROTOGENIC-ZONE DETECTION[J].Computer Applications and Software,2011,28(4).
Authors:Lu Bei  Gong Yuwang  Yao Jinliang  Zhou Jianzheng
Affiliation:Lu Bei1 Gong Yuwang1 Yao Jinliang1 Zhou Jianzheng2 1(School of Computer Science,Hangzhou Dianzi University,Hangzhou 310018,Zhejiang,China) 2(Tiange Technology INC,Hangzhou 310000,China)
Abstract:At present,many non-pornographic images containing larger exposure of skin area or approximate skin-colour area are often prone to be detected as the pornographic images by most of the pornographic image filtering methods.In order to decrease the false detection rate,a new pornographic image filtering method based on erotogenic-zone detection is proposed in the paper.The method extracts main features,including skin-colour features,HOG features which describe the shape and appearance of local objects,spatial...
Keywords:Pornographic image filtering Adaboost learning algorithm Skin-colour feature HOG Feature  
本文献已被 CNKI 万方数据 等数据库收录!
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