3D Human Pose Tracking Approach Based on Double Kinect Sensors

Authors

Li Qi, 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;;
Xiangdong Wang, 3. China Institute of Sport Science, General Administration of Sport, Beijing 100061, China;
Li Hua, 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;;

Abstract

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.

Recommended Citation

Qi, Li; Wang, Xiangdong; and Hua, Li (2020) "3D Human Pose Tracking Approach Based on Double Kinect Sensors," Journal of System Simulation: Vol. 32: Iss. 8, Article 4.
DOI: 10.16182/j.issn1004731x.joss.19-0017
Available at: https://dc-china-simulation.researchcommons.org/journal/vol32/iss8/4

First Page

1446

Revised Date

2019-03-12

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.19-0017

Last Page

1454

CLC

TP391

Recommended Citation

Li Qi, Wang Xiangdong, Li Hua. 3D Human Pose Tracking Approach Based on Double Kinect Sensors[J]. Journal of System Simulation, 2020, 32(8): 1446-1454.

DOI

10.16182/j.issn1004731x.joss.19-0017