A TIME SAVING METHOD FOR HUMAN DETECTION IN WIDE ANGLE CAMERA IMAGES

摘要：

A time-saving method for human detection in an indoor environment in wide angle camera images is presented in this paper, without using time-consuming template operations such as edge detection and morphological operations. It excludes other objects in motion to detect humans including cases of the partial occlusion of humans, rotation of the head and variation of skin colors. This algorithm is applicable where the memory space is limited and the time requirements are strict, such as in an embedded system. The experimental results show that it took about 0.35 seconds to process the algorithm after the scene study time.

关键词： Time saving Wide angle Human detection Embedded system

作者: ZHUO-LIN JIANG SHAO-FA LI DONG-FA GAO

作者单位: School of Computer Science and Engineering, South China University of Technology, Guangzhou, 510641, School of Math & Computer Science, Hubei University, Wuhan, 430062, China

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 4029-4034

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）