基于Kinect的关节轨迹跟踪

Jiarui Cui, Jiqiang Fu, Zhiyu Tao, Lu Tong, Guangda Hu, Yumeng Zhang, Xinzhe Li
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引用次数: 3

摘要

本文讨论了基于Kinect图像的关节轨迹跟踪问题。首先,基于离散数据线性滤波中的卡尔曼滤波算法,提出了一种改进的骨架位置跟踪递归算法。然后设计了基于Kinect摄像头的关节轨迹跟踪系统,该系统由跟踪手部运动轨迹的人机交互子系统和跟踪采集到的人机交互子系统轨迹的双轴运动控制子系统组成。针对两子系统之间的通信,制定了可靠的协议和合理的人机交互和双轴运动控制子系统的软件流程。最后,通过实验对算法和系统进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trajectory Tracking of Joint Based on Kinect
This work discusses a problem of trajectory tracking of joint based on Kinect carema. First, an improved recursive algorithm for Skeleton location tracing based on Kalman filtering algorithms in discrete data linear filtering is presented. Then a trajectory tracking system of joint is designed based on Kinect camera which is consisted of human-computer interaction subsystem which track the trajectory of the hand and dual-axis motion control subsystem which track the collected trajectory of the human-computer interaction subsystem. For the communication between the two subsystems, a reliable protocol and the reasonable software flow on human-computer interaction and dual-axis motion control subsystem are developed. Finally, an experiment is given to validate the algorithm and the system.
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