Human Pose Discrimination Using Human Bone Structure Features

摘要：

Our goal in this paper is to develop a novel 2d human pose discrimination algorithm. With the speedy development in visual monitoring and internet, many images are needed to be coped with so that we can recognize the human poses that should be filtered or tracked. In this paper, we propose a novel human pose discrimination algorithm, in which three steps are utilized to access this goal, (1) finding seeds, (2)expanding pixel along the direction of ones limb bones, (3)constructing stickman, (4)pose matching with standard poses in library, (5)outputting discrimination results. Simulation is conducted to verify this algorithm, and we suggest the next step for the research. This algorithm is robust to scale and rotation.

关键词： human pose discrimination bone structure stickman super-pixel

作者: Zuchun Ding Lei Lei Xinghong Qin

作者单位: School of Electronic and Information Engineering South China University of Technology Guangzhou, Chi The 2~(nd) Research Department Guangzhou Communication Institute Guangzhou, China School of Economics and Management Beihang University Beijing, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 433-437

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）