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计算机工程 ›› 2008, Vol. 34 ›› Issue (22): 220-222. doi: 10.3969/j.issn.1000-3428.2008.22.077

• 人工智能及识别技术 • 上一篇    下一篇

基于多摄像机的人体步态跟踪方法

胡 琴1,2,王文中2,夏时洪2,刘任任1,李锦涛2   

  1. (1. 湘潭大学信息工程学院,湖南湘潭 411105;2. 中国科学院计算技术研究所,北京 100080)

  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2008-11-20 发布日期:2008-11-20

Human Gait Tracking Method Based on Multiple Cameras

HU Qin1,2, WANG Wen-zhong2, XIA Shi-hong2, LIU Ren-ren1, LI Jin-tao2

  

  1. (1. College of Information Engineering, Xiangtan University, XiangtanHunan 411105;2. Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100080)

  • Received:1900-01-01 Revised:1900-01-01 Online:2008-11-20 Published:2008-11-20

摘要: 研究步态跟踪的关键技术,提出一种比较鲁棒的多摄像机自校正跟踪方法,该方法结合卡尔曼滤波预测技术、标记点轨迹平滑性和多视角几何关系对标记点的运动轨迹进行跟踪。将该方法应用于三维人体步态重构,并与商业系统Vicon做了对比实验。实验表明,该方法可以获得较精确的步态数据,能够满足人体步态分析的需求。

关键词: 运动捕获, 摄像机定标, 运动跟踪

Abstract: This paper researches the key technologies of human motion capture. A robust self-corrected tracking method is presented in this paper. This method combines Kalman filter technology, the smooth of point’s track and multiple cameras’ epipolar geometry to track points. This method is used in 3D human gait motion capture, and is implemented in a gait capture system based on markers and multiple cameras. The effectiveness of this method is verified by experiments.

Key words: motion capture, camera calibration, motion tracking

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