Prediction and Correction of Target Track Based on Kalman Filter

被引：0

作者：

Ma Yinghui ^{[1
]}

Gao Lei ^{[1
]}

Li Shoujun ^{[1
]}

Xu Xiaowen ^{[1
]}

机构：

[1] Suqian Coll, Dept Comp Sci, Suqian 223800, Peoples R China

来源：

ISTM/2011: 9TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT | 2011年

关键词：

Kalman Filter; tracking; track prediction; moving target;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In the moving object tracking system, the image process mainly includes the shape recognition and the determination of the object t racking which demands to search and match on the whole vision space. It is a type of global search problem which demands much time and it is difficult to accomplish the quick track. The difficulty of object tracking in complex background is how to speed up the colorful digital image sequence model matching process which usually has huge information and takes a long time. In order to solve this problem, this paper proposed the measure of prediction and correction of target track based on Kalman filter Finally,the paper gave the experiment result, which proved this method was an effective one.

引用

页码：196 / 199

页数：4