Tracking of Moving Object Based on Kalman Filter

被引：0
|
作者：
Weng, Guirong [1 ]
Sha, Shengzhong [1 ]
机构：
[1] Soochow Univ, Sch Mech & Elect Engn, Suzhou 215021, Jiangsu, Peoples R China
来源：
CJCM: 5TH CHINA-JAPAN CONFERENCE ON MECHATRONICS 2008 | 2008年
关键词：
Frame difference; morphological filter; Kalman filter; object tracking;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A real-time tracking of moving object method based on Kalman filter is proposed in this article. The research interest of moving objects detection and tracking is video sequence, i.e. image sequence. Object tracking is to monitor an object's spatial and temporal changes during a video sequence, including its presence, position, size, shape, etc. This article uses frame difference and morphological filter to detect and extract moving objects. The possible position of moving target center in the next frame image is predicted by Kalman filter. The experimental results show that the method is feasibility and effective.
引用
收藏
页码：163 / 165
页数：3
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