基于双Kinect传感器的三维人体姿态跟踪方法

3D Human Pose Tracking Approach Based on Double Kinect Sensors

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。

3 D 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 3 D 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.