A New Approach to Track Moving Target With improved Mean Shift Algorithm and Kalman Filter

摘要：

In the application and prospect of computer vision technique, video target recognition and tracking was an important research subject. In this article, we present a new approach to track moving target with mean shift algorithm and kalman filter. With this approach, we do not need to calculate the Bhattacharyya coefficient, so we can track the moving target at real time .But we found that the robust of the track is not very well, so we use kalman filter to improve the effect of the track window. With simulation and experience, we prove that the new approach can Track the moving target in real time and the robust of the track is very well.

关键词： water temperature control Fuzzy self-tuning PID control PLC

作者: Chengpo Mu Zhijie Yuan Jia Song Yuanqian Chen

作者单位: Beijing Institute of Technology Beijing, China

会议类型: 国际会议

会议名称: 2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics 第4届智能人机系统与控制论国际会议 IHMSC 2012

会议地点: 南昌

会议语种:英文

页码: 359-362

在线出版日期: 2012-08-26（万方平台首次上网日期，不代表论文的发表时间）