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基于Kalman滤波算法的运动目标跟踪系统建模与仿真
引用本文:甘志英.基于Kalman滤波算法的运动目标跟踪系统建模与仿真[J].唐山学院学报,2018,31(6):45-48.
作者姓名:甘志英
作者单位:唐山学院 智能与信息工程学院, 河北 唐山 063000
摘    要:鉴于传统的跟踪算法鲁棒性和实时性不足,构建了一种基于Kalman滤波的运动目标跟踪系统。对于运动目标的跟踪,此系统先采用背景差分法检测目标位置,再使用Kalman滤波算法估计目标位置。通过建模仿真,结果表明,该算法能较好预测运动目标的位置,实现了对运动目标的实时跟踪。

关 键 词:运动目标跟踪系统  背景差分法  Kalman滤波算法

Modeling and Simulation of Moving Target Tracking System Based on Kalman Filtering
GAN Zhi-ying.Modeling and Simulation of Moving Target Tracking System Based on Kalman Filtering[J].Journal of Tangshan College,2018,31(6):45-48.
Authors:GAN Zhi-ying
Institution:School of Intelligence and Information Engineering, Tangshan University, Tangshan 063000, China
Abstract:With regard to the deficiency for robustness and real-time performance in the traditional tracking algorithm, a moving target tracking system based on Kalman Filtering is developed. In this system there are two steps:first, background-difference method is used to detect the position of the target. Then, the Kalman filtering is used to evaluate its position. Through modeling and simulation, it has shown that this algorithm can better predict the position of the moving target and realize the real-time tracking.
Keywords:target tracking system  background-difference method  Kalman filtering
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