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Reseach Article

Application of Edge Detection for Vehicle Detection in Traffic Surveillance System

by Ashwini.b, Yuvaraju B N
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 115 - Number 15
Year of Publication: 2015
Authors: Ashwini.b, Yuvaraju B N
10.5120/20225-2504

Ashwini.b, Yuvaraju B N . Application of Edge Detection for Vehicle Detection in Traffic Surveillance System. International Journal of Computer Applications. 115, 15 ( April 2015), 8-11. DOI=10.5120/20225-2504

@article{ 10.5120/20225-2504,
author = { Ashwini.b, Yuvaraju B N },
title = { Application of Edge Detection for Vehicle Detection in Traffic Surveillance System },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 115 },
number = { 15 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 8-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume115/number15/20225-2504/ },
doi = { 10.5120/20225-2504 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:54:53.075527+05:30
%A Ashwini.b
%A Yuvaraju B N
%T Application of Edge Detection for Vehicle Detection in Traffic Surveillance System
%J International Journal of Computer Applications
%@ 0975-8887
%V 115
%N 15
%P 8-11
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Detecting the vehicles and having a detailed behavior analysis of the vehicles and their behavior in a traffic surveillance system is an emerging area of research. Vehicle detection would be the first step to be addressed in this process. Various classes of vehicles are to be detected from the surveillance video and then they need to be classified based on various feature points. This paper brings out the different methods used for the vehicle detection from a video. An overview of the edge detection methodology is also given here, which is one of the methodologies used in vehicle detection.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Intelligent Transport System Background subtraction optical flow frame differencing edge detection