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基于视频的人体运动捕捉综述 被引量：31

A Survey of Video Based Human Motion Capture
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摘要 系统地总结和介绍了基于视频的人体运动捕捉研究的技术方法和最新进展·将基于视频的人体运动捕捉方法分为自顶向下的方法和自底向上的方法2大类,阐述了每一类中各种方法的原理、技术特点和研究现状,最后分析了该领域的难点问题和发展趋势· A comprehensive survey of the research and recent developments of video based human motion capture （HMC） is presented. The various approaches of HMC are classified into two categories： Top-down category and Bottom-up category. The approaches in each category are described and their principles and technical characteristics are summarized. Finally, the open issues and technical trends of HMC are discussed.
作者 李豪杰 林守勋 张勇东
机构地区 中国科学院计算技术研究所虚拟现实技术实验室
出处 《计算机辅助设计与图形学学报》 EI CSCD 北大核心 2006年第11期1645-1651,共7页 Journal of Computer-Aided Design & Computer Graphics
基金 北京市自然科学基金重点项目(4051004) 北京市科技计划项目(D0106008040291 Z0004024040231)
关键词 计算机视觉 人体运动捕捉 人体运动跟踪 姿态估计 computer vision human motion capture human body tracking pose estimation
分类号 TP391 [自动化与计算机技术—计算机应用技术]
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参考文献41

  • 1Moeslund T B,Granum E.A survey of computer vision-based human motion capture[J].Computer Vision and Image Understanding,2001,81(3):231-268
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  • 9刘国翌,陈睿,邓宇,李华.基于视频的三维人体运动跟踪[J].计算机辅助设计与图形学学报,2006,18(1):82-88. 被引量：9
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共引文献46

同被引文献364

引证文献31

二级引证文献161

计算机辅助设计与图形学学报
2006年 第11期

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