Human Body Detection Using Multi-scale Shape Contexts

摘要：

In this paper, we propose a prototype-based human detection approach using shape information. Multi-scale shape contexts descriptor is utilized to model the shapes in the procedure of human body detection. As a partial shape presentation, it is capable of modeling shapes and measuring their similarity at different scale. The multi-scale shape contexts help human detection own robustness to the variations result from noise, illumination, movement, and clutter in image. The approach consists of two steps: An edge detector is firstly performed to acquire the edges; the multi-scale shape contexts are then applied to find human body in the edges based on the similarities between the edges and a predefined human body prototype. Experimental results demonstrate the advantage of the proposed approach.

作者: Fenglei Yang Yue Lu Baomin Li

作者单位: Department of Computer Science East China Normal University Shanghai, China Distance Education College East China Normal University Shanghai, China

会议类型: 国际会议

会议名称: The 4th International Conference on Bioinformatics and Biomedical Engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

会议地点: 成都

会议语种:英文

页码: 1-4

在线出版日期: 2010-06-18（万方平台首次上网日期，不代表论文的发表时间）