基于IMM Kalman滤波算法的实时追踪监控系统  

Real-time Tracking and Monitoring System Based on IMM Kalman Filtering Algorithm

作　　者：张凯丽 何玥 程雅茹 孙晨静 陈亚宁 纪亚芳[1] ZHANG Kai-li;HE Yue;CHENG Ya-ru;SUN Chen-jing;CHEN Ya-ning;JI Ya-fang(Shanxi Normal University,Linfen 041000,Shanxi)

机构地区：[1]山西师范大学物理与信息工程学院,山西临汾041000

出　　处：《电脑与电信》2021年第5期71-74,共4页Computer & Telecommunication

摘　　要：将SAD匹配算法和IMM Kalman滤波算法相结合,构建了一个实时追踪监控系统的雏形。该系统通过SAD匹配算法对目标进行检测,结合IMM Kalman滤波算法使追踪更加精确,从而优化现有的监控系统。选用MATLAB对SAD匹配算法和IMM Kalman滤波算法分别进行仿真,仿真结果表明SAD匹配算法与IMM Kalman滤波算法相结合,可以实现检测和追踪功能,具有现实意义。In this paper,SAD(Sum of Absolute Differences)matching algorithm and IMM Kalman filtering algorithm are combined to build a prototype of real-time tracking and monitoring system.The system detects the target by using SAD matching algorithm,combined with IMM Kalman filtering algorithm to make the tracking more accurate,so as to optimize the existing monitoring system.The SAD matching algorithm and IMM Kalman filtering algorithm are respectively simulated by MATLAB in this paper.The simulation results show that the combination of SAD matching algorithm and IMM Kalman filtering algorithm can realize the detection and tracking function,which has practical significance.

关 键 词：实时追踪 SAD匹配算法 IMM Kalman滤波算法 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]