Application of moving object tracking based on Kalman Filter algorithm

被引：0

作者：

Xiao, Zhansheng ^{[1
]}

机构：

[1] Shanxi Engineering Vocational College, Taiyuan Shanxi 030009, Shanxi

来源：

Journal of Applied Sciences | 2013年 / 13卷 / 19期

关键词：

Algorithm; Kalman Filter; Moving object tracking; Template matching;

D O I：

10.3923/jas.2013.4096.4098

中图分类号：

学科分类号：

摘要：

The moving object module matching method base on Kalman Filter (KF) algorithm which proposed to solve the problem of traditional moving object matching method's, that fault of huge searching range and weakness in real-time processing. Relative to traditional module matching method, the method mentioned here effectively improved the speed and the accuracy of object tracking. This method has tripled the object matching speed of traditional tracking method. © 2013 Asian Network for Scientific Information.

引用

页码：4096 / 4098

页数：2

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