系统仿真学报 ›› 2020, Vol. 32 ›› Issue (8): 1446-1454.doi: 10.16182/j.issn1004731x.joss.19-0017

• 仿真建模理论与方法 • 上一篇    下一篇

基于双Kinect传感器的三维人体姿态跟踪方法

李琪1,2, 王向东3, 李华1,2   

  1. 1.中国科学院计算技术研究所 院智能信息处理重点实验室,北京 100190;
    2.中国科学院大学,北京 100049;
    3.国家体育总局体育科学研究所,北京 100061
  • 收稿日期:2019-01-09 修回日期:2019-03-12 出版日期:2020-08-18 发布日期:2020-08-13
  • 作者简介:李琪(1992-),男,安徽蚌埠,博士生,研究方向为计算机图形学与人体动作识别。
  • 基金资助:
    国家重点研发计划(2017YFB1002703),国家重点基础研究规划(2015CB554507),国家自然科学基金(61379082),国家体育总局体育科学研究所合作项目(基本17-01,基本17-28,基本18-19)

3D Human Pose Tracking Approach Based on Double Kinect Sensors

Li Qi1,2, Wang Xiangdong3, Li Hua1,2   

  1. 1. Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China;
    3. China Institute of Sport Science, General Administration of Sport, Beijing 100061, China
  • Received:2019-01-09 Revised:2019-03-12 Online:2020-08-18 Published:2020-08-13

摘要: 三维人体姿态估计与跟踪是机器视觉中的热点问题。为了提高人体姿态跟踪的稳定性,以人体关节点自由度向量的方法表示人体运动姿态,使用无迹卡尔曼滤波方法对人体姿态进行跟踪,并搭建了一套基于双Kinect传感器的人体姿态跟踪系统。对比于传统的人体运动捕捉系统,该系统可实现在简单动作下准确稳定的三维人体姿态跟踪,在复杂动作下反映运动过程的特殊性质,并用于运动生物力学的性能评估。

关键词: 三维人体姿态跟踪, Kinect传感器, 关节点自由度, 无迹卡尔曼滤波, 运动生物力学

Abstract: 3D human pose estimation and tracking is a popular problem of machine vision. In order to improve the stability of human pose tracking, the human body motion posture is represented by the human joint DOF (Degree of Freedom) vector, the human pose is tracked by the unscented Kalman filter method, and a human pose tracking system based on double Kinect sensors is built. Compared with the traditional human motion capture system, the system can accurately and stably track 3D human pose under simple movements, reflect the special nature of the motion process under complex movements, and can be used in the performance evaluation of sports biomechanics.

Key words: 3D human pose tracking, Kinect sensor, human joint DOF, unscented Kalman filter, sports biomechanics

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