Performance analysis of a moving target tracking method based on computer vision

被引：4

作者：

Zheng, Ying ^{[1
]}

Xiao, Su ^{[1
]}

机构：

[1] Huaibei Normal Univ, Sch Comp Sci & Technol, Huaibei 235000, Anhui, Peoples R China

来源：

PROCEEDINGS 2016 EIGHTH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION ICMTMA 2016 | 2016年

关键词：

Computer vision; Partitioning algorithm; Tracking algorithm; Accuracy of separation;

D O I：

10.1109/ICMTMA.2016.117

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

With the rapid development of computer technology, image processing technology is significantly improved. In this paper, a method of moving target tracking based on computer vison is studied. By combining with the results of the Marr image research, we first introduce the framework of computer vision theory via a bottom-up visual tracking processing method. To be specific, we take the rocket as an example. Consecutively applying the segmentation algorithm and the tracking algorithm, we find that the accuracy of separation and the instantaneity of image can be enhanced, which makes a significant contribution to the target tracking technology.

引用

页码：467 / 470

页数：4

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