NIGHT VIDEO TRAFFIC DETECTION USING FREQUENCY FILTERS

被引：0

作者：

Ghita, Rzvan ^{[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 | 2014年 / 76卷 / 02期

关键词：

video; spatial filter; frequency filter; 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 article aims to present a study of the traffic video detection using different video processing methods capable of detecting the vehicles in poor illumination conditions, even at night. For achieving this target, a couple of spatial and frequency filters have been used. All the processes necessary to obtain the traffic flow detection have been concentrated and presented into a software diagram. By combining this method with various other traffic detection methods we can compile a Lab View software application capable of being integrated with different intelligent transport management systems.

引用

页码：159 / 170

页数：12

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