基于IMM Kalman 滤波算法的实时追踪监控系统

张凯丽 何玥 程雅茹 孙晨静 陈亚宁 纪亚芳

电脑与电信 ›› 2021, Vol. 1 ›› Issue (5) : 71-74.

电脑与电信 ›› 2021, Vol. 1 ›› Issue (5) : 71-74.

基于IMM Kalman 滤波算法的实时追踪监控系统

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

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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。

Abstract

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

Key words

real-time tracking / SAD matching algorithm / IMM Kalman filtering algorithm

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导出引用
张凯丽 何玥 程雅茹 孙晨静 陈亚宁 纪亚芳. 基于IMM Kalman 滤波算法的实时追踪监控系统[J]. 电脑与电信. 2021, 1(5): 71-74
ZHANG Kai-li HE Yue CHENG Ya-ru SUN Chen-jing CHEN Ya-ning JI Ya-fang. Real-time Tracking and Monitoring System Based on IMM Kalman Filtering Algorithm[J]. Computer & Telecommunication. 2021, 1(5): 71-74

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