计算机与现代化Issue(4)：192-195,200,5.DOI:10.3969/j.issn.1006-2475.2012.04.052
基于单一深度图像的人体姿态实时识别技术研究
Human Pose Recognition Research Based on Single Depth Images
杜霄鹏 1郝建平 1李星新 1杨俊2
作者信息
- 1. 军械工程学院装备指挥与管理系,河北石家庄050003
- 2. 中国人民解放军68210部队司令部,陕西宝鸡721000
- 折叠
摘要
Abstract
To obtain more natural and realistic interactive mode, the research based on depth image technology is carried on. The situation of depth image application and methods are introduced. The depth image is used to recognize human pose indud-ing based on multiple depth image or single depth image. And for the static human pose tracking, random forest algorithm is used to evaluate the human position in the single depth image for improving the run rate and the robust character. Then the recognition of body position and the skeleton joint are realized. At last, an instance is provided to illustrate the effectiveness and accuracy of the method.关键词
深度图像/姿态识别/随机森林/Mean Shift方法Key words
depth image/human pose recognition/random forest/Mean Shift method分类
信息技术与安全科学引用本文复制引用
杜霄鹏,郝建平,李星新,杨俊..基于单一深度图像的人体姿态实时识别技术研究[J].计算机与现代化,2012,(4):192-195,200,5.
