燕山大学学报2012，Vol.36Issue(5)：428-432,464,6.DOI:10.3969/j.issn.1007-791X.2012.05.011
自适应Kalman滤波的运动物体跟踪算法研究
Research on algorithm of moving object tracking using adaptive Kalman filter
张秀杰 1张建忠 1谭云福1
作者信息
- 1. 燕山大学 信息科学与工程学院,河北秦皇岛 066004
- 折叠
摘要
Abstract
For real-time video moving objects tracking, a new tracking method using adaptive Kalman filter is proposed. Firstly, the moving objects are detected using S-A background estimation algorithm and their dominant color is extracted. Then, a motion model is constructed to set the system model of adaptive Kalman filter. At last, the dominant color is used to track moving objects. The tracking result is fed back to adaptive Kalman filter. The parameters of adaptive Kalman filter are adjusted by occlusion ratio adaptively. The experimental results show that the proposed algorithm has the robust ability on some complex situations such as occlusion and the advantages of high accuracy and low calculation, and it can be used for real-time moving object detection and tracking.关键词
运动物体跟踪/∑-△背景估计/自适应Kalman滤波Key words
moving object tracking/ S-A background estimation/ adaptive Kalman filter分类
信息技术与安全科学引用本文复制引用
张秀杰,张建忠,谭云福..自适应Kalman滤波的运动物体跟踪算法研究[J].燕山大学学报,2012,36(5):428-432,464,6.
