Human Limb Motion Real-time Tracking Based on CamShift for Intelligent Rehabilitation System

摘要：

Intelligent rehabilitation system has become a hot topic. In home rehabilitation system, the real-time tracking of human motion is very important. In this paper, it presents a modified CAMSHIFT (Continuously Adaptive Mean Shift) algorithm, which can track human limb motion in real time. Considering the limb motion and selected color probability distribution all together, we put forwards the modified algorithm, which enhances anti-noise ability and avoids distracters. Finally, based on the OpenCV computer vision library, use CAMSHIFT tracking algorithm to achieve limb motion tracking. Experiment results show this algorithm is fast, accurate, and robust. It can be used in other region tracking special color.

作者: Yuan Luo Hongmei Yang Zhangfang Hu

作者单位: Chongqing University of Posts and Telecommunications Chongqing,Chongqing Province,China College of Opto-Electronic Engineering,Chongqing University of Posts and Telecommunications Chongqin

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Robotics and Biomimetics(2009 IEEE 机器人与仿生技术国际会议 ROBIO 2009)

会议地点: 桂林

会议语种:英文

页码: 343-348

在线出版日期: 2009-12-19（万方平台首次上网日期，不代表论文的发表时间）