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Image Processing and Particle Analysis for Road Traffic Detection

by Aditya Kamath, Abhijeet Khanna
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 55 - Number 2
Year of Publication: 2012
Authors: Aditya Kamath, Abhijeet Khanna
10.5120/8728-2604

Aditya Kamath, Abhijeet Khanna . Image Processing and Particle Analysis for Road Traffic Detection. International Journal of Computer Applications. 55, 2 ( October 2012), 26-32. DOI=10.5120/8728-2604

@article{ 10.5120/8728-2604,
author = { Aditya Kamath, Abhijeet Khanna },
title = { Image Processing and Particle Analysis for Road Traffic Detection },
journal = { International Journal of Computer Applications },
issue_date = { October 2012 },
volume = { 55 },
number = { 2 },
month = { October },
year = { 2012 },
issn = { 0975-8887 },
pages = { 26-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume55/number2/8728-2604/ },
doi = { 10.5120/8728-2604 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:56:14.246317+05:30
%A Aditya Kamath
%A Abhijeet Khanna
%T Image Processing and Particle Analysis for Road Traffic Detection
%J International Journal of Computer Applications
%@ 0975-8887
%V 55
%N 2
%P 26-32
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This article presents a system developed using graphic programming on LabVIEW using image processing and particle analysis so as to indicate increase in vehicular density on particularly traffic-prone roads and hence alert necessary officials of the same instantly. This system primarily focusses on the vehicular density and sets specific thresholds in accordance with the time of the day to give almost accurate results. It also displays an application of computer vision for traffic flow management and road traffic analysis. The method mentioned provides the functionality of alert during times of road clogging and will hence; ensure immediate rectification of the same.

References
  1. V. Kastrinaki, M. Zervakis and K. Kalaitzakis, "A Survey of Video Processing Techniques for Traffic Applications", Image and Vision Computing, vol. 21, pp 359-381, Apr 1, 2003.
  2. E. Atkociunas, R. Blake, A Juozapavicius and M. Kazimianec, "Image Processing in Road Traffic Analysis", Nonlinear Analysis: Modelling and Control, 2005, vol. 10, no. 4, pp 315-332
  3. Morphological Image Processing: Gray Scale Morphology, Gleb V. Tcheslavski. http://ee. lamar. edu/gleb/dip/index. htm
  4. Kim, K. K. , Kim, K. I. , Kim, J. B. , and Kim, H. J. , "Learning based approach for license plate recognition", Proceedings of IEEE Processing Society Workshop on Neural Networks for Signal Processing, vol. 2, pp: 614- 623, 2000.
  5. Cowell, J. , and Hussain, F. , "Extracting features from Arabic characters",Proceedings of the IASTED International Conference on COMPUTER GRAPHICS AND IMAGING, Honolulu, Hawaii, USA, pp. 201-206, 2001
  6. Kuldeepak, Monika Kaushik, Munish Vashishath, License Plate Recognition System based on Image Processing Using LabVIEW. International Journal of Electronics Communication and Computer Technology (IJECCT), Vol 2, Issue 4, July 2012
  7. Pallavi Choudekar, Sayanti Banerjee and M. K. Muju, "Real Time Traffic Light Control Using Image Processing" Indian Journal of Computer Science and Engineering (IJCSE), vol. 2, no. 1, ISSN: 0976-5166.
Index Terms

Computer Science
Information Sciences

Keywords

Computer Vision Traffic Analysis Image Processing Particle Analysis Visual Programming

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