• 图形图像技术 •

### 基于局部灰度熵的人体检测方法

1. 河南科技大学 电子信息工程学院，河南 洛阳 471003
• 收稿日期:2010-11-17 修回日期:2011-01-20 发布日期:2011-06-20 出版日期:2011-06-01
• 通讯作者: 赵煜
• 作者简介:黎蔚（1960-），女，河南洛阳人，副教授，硕士，主要研究方向：图形图像处理；赵煜（1986-），女，河南周口人，硕士研究生，主要研究方向：图形图像处理；陈家新（1962-），男，河南洛阳人，教授，博士，主要研究方向：图形图像处理；胡明合（1982-），男，河南信阳人，硕士研究生，主要研究方向：图形图像处理。

### Detection of human body based on local gray entropy

LI Wei,ZHAO Yu,CHEN Jiaxin,HU Minghe

1. College of Electronic Information Engineering, Henan University of Science and Technology, Luoyang Henan 471003,China
• Received:2010-11-17 Revised:2011-01-20 Online:2011-06-20 Published:2011-06-01
• Contact: ZHAO Yu

Abstract: With regard to the two main factors that cause the difficulty of human-detection under the dim contrast environment, a concept of the local gray entropy was introduced, and then an algorithm of human target detection based on local gray entropy was proposed for the reason that the local gray entropy could reflect the discrete level accurately, and it was independent on the average gray. After the background model was established, the local gray entropy difference between the moving objects and background model inside the domain windows was calculated by using calculation formula of local gray entropy simplified through Taylor expansion. And the ratio of detection and the ratio of false-alarm of the algorithm were evaluated. The optimal thresholds on the differential of the local gray entropy which could get the human body under the two conditions of low contrast were obtained. The experimental results show that the algorithm of human target detection based on the trait of the local gray entropy can obtain the moving human targets effectively under the dim contrast environment.