液晶与显示2011，Vol.26Issue(3)：384-389,6.DOI:10.3788/YJYXS20112603.0384
一种基于卡尔曼滤波及粒子滤波的目标跟踪算法
Target Tracking Algorithm Based on Kalman Filter and Particle Filter
杜超 1刘伟宁 2刘恋1
作者信息
- 1. 中国科学院长春光学精密机械与物理研究所,吉林长春130033
- 2. 中国科学院研究生院,北京100039
- 折叠
摘要
Abstract
Aiming at the problem that Kalman filter tracking algorithm is no longer accurate in non-Gauss and non-linear case and the Particle filter tracking algorithm costs huge computation, a improved targets tracking algorithm based on Kalman filter and Particle filter was proposed.Firstly, a candidate object was gotten by Kalman tracking algorithm.Then, the tracking result would be verified by Particle filter algorithm when the match threshold is lower than a certain.The improved algorithm used "template buffer" to updated object template to ensure the tracking process continuity, stability and accuracy.Experimental results show that this approach can maintain the efficiency of Kalman algorithm and the powerful ability of Particle filter algorithm, so it is of advanced property.关键词
目标跟踪/卡尔曼滤波/粒子滤波/模板更新Key words
Kalman filter/ particle filter/ object tracking/ template updata分类
信息技术与安全科学引用本文复制引用
杜超,刘伟宁,刘恋..一种基于卡尔曼滤波及粒子滤波的目标跟踪算法[J].液晶与显示,2011,26(3):384-389,6.
