Real-time traffic parameter extraction using entropy

被引：30

作者：

Hsu, WL ^{[1
]}

Liao, HYM

Jeng, BS

Fan, KC

机构：

[1] Cent Univ, Dept Comp Sci & Informat Engn, Taoyuan, Taiwan

[2] Acad Sinica, Inst Informat Sci, Taipei 115, Taiwan

[3] Telecommun Labs Telecommun Co Ltd, Taoyuan, Taiwan

来源：

IEE PROCEEDINGS-VISION IMAGE AND SIGNAL PROCESSING | 2004年 / 151卷 / 03期

关键词：

D O I：

10.1049/ip-vis:20040314

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A vision-based traffic monitoring system that can perform real-time traffic parameter extraction is proposed. The entropy measurement, which is commonly adopted as an important feature to describe the degree of disorder in thermodynamics, is used as an underlying feature in this work. Based on an entropy measurement, a number of important traffic parameters, such as traffic flow, space mean speed and traffic queue, can be determined in real time. The experimental results clearly show that the proposed system is highly effective.

引用

页码：194 / 202

页数：9

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