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A Survey and Comparative Study of Real Time Vehicle Detection Methods for Road Traffic Applications

Published on August 2016 by Swati N. Divatankar, Umesh N. Hivarkar
National Conference on Digital Image and Signal Processing
Foundation of Computer Science USA
NCDISP2016 - Number 1
August 2016
Authors: Swati N. Divatankar, Umesh N. Hivarkar
83cf75d5-3c55-476a-8b20-955f50a7e338

Swati N. Divatankar, Umesh N. Hivarkar . A Survey and Comparative Study of Real Time Vehicle Detection Methods for Road Traffic Applications. National Conference on Digital Image and Signal Processing. NCDISP2016, 1 (August 2016), 28-31.

@article{
author = { Swati N. Divatankar, Umesh N. Hivarkar },
title = { A Survey and Comparative Study of Real Time Vehicle Detection Methods for Road Traffic Applications },
journal = { National Conference on Digital Image and Signal Processing },
issue_date = { August 2016 },
volume = { NCDISP2016 },
number = { 1 },
month = { August },
year = { 2016 },
issn = 0975-8887,
pages = { 28-31 },
numpages = 4,
url = { /proceedings/ncdisp2016/number1/25851-1632/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Digital Image and Signal Processing
%A Swati N. Divatankar
%A Umesh N. Hivarkar
%T A Survey and Comparative Study of Real Time Vehicle Detection Methods for Road Traffic Applications
%J National Conference on Digital Image and Signal Processing
%@ 0975-8887
%V NCDISP2016
%N 1
%P 28-31
%D 2016
%I International Journal of Computer Applications
Abstract

Vehicle count is increasing by the day in urban area. Vehicle detection plays an important role in road traffic applications. By using vehicle detection methods different traffic parameters such as vehicle speed, density, volume, traffic flow rate, travelling time, congestion level can be calculated and these methods can be applied for vehicle tracking, vehicle classification, parking area monitoring , road traffic monitoring and management etc. Various real time vehicle detection methods have been proposed by researchers. The objective of this paper is to present the various approaches for real time vehicle detection using image processing, also to provide comparison of these methods along with pros and cons of each method.

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Index Terms

Computer Science
Information Sciences

Keywords

Real Time Vehicle Detection Traffic Monitoring vehicle Tracking Image Processing