TRAFFIC FLOW DETECTION USING LAB VIEW VIDEO PROCESSING TECHNIQUES

被引：0

作者：

Ghita, Razvan ^{[1
]}

Mocofan, Ana Maria Nicoleta ^{[1
]}

机构：

[1] Univ Politehn Bucuresti, Fac Transports, Dept Telemat & Elect Transports, Bucharest, Romania

来源：

UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN SERIES C-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE | 2013年 / 75卷 / 02期

关键词：

video; template; edge; kernel; peak; curve-fitting;

D O I：

暂无

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：

This project highlights the role played by trqffic video detection, using example techniques like templates (or mask images) and edge detection. These techniques are rarely used for detection of moving objects and therefore using them in road traffic. flow detection represents a challenge. We developed a software application which has the advantage that it can determine the degree of occupation of a trqffic link at certain hours. The main advantage of our software application consists of its versatility. The software is capable of making a centralized video detection by removing, in this way, the need of dedicated producer equipment.

引用

页码：181 / 192

页数：12

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