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Reseach Article

Moving Vehicle Detection: A Review

by S. P. Patil, M. B. Patil
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 87 - Number 15
Year of Publication: 2014
Authors: S. P. Patil, M. B. Patil
10.5120/15287-4006

S. P. Patil, M. B. Patil . Moving Vehicle Detection: A Review. International Journal of Computer Applications. 87, 15 ( February 2014), 35-37. DOI=10.5120/15287-4006

@article{ 10.5120/15287-4006,
author = { S. P. Patil, M. B. Patil },
title = { Moving Vehicle Detection: A Review },
journal = { International Journal of Computer Applications },
issue_date = { February 2014 },
volume = { 87 },
number = { 15 },
month = { February },
year = { 2014 },
issn = { 0975-8887 },
pages = { 35-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume87/number15/15287-4006/ },
doi = { 10.5120/15287-4006 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:06:25.757243+05:30
%A S. P. Patil
%A M. B. Patil
%T Moving Vehicle Detection: A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 87
%N 15
%P 35-37
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Moving vehicle detection is an essential process for Intelligent Transportation system. During the last decade, a large amount of work has been trying to produced output for this challenge; however, performances of most of them still fall far behind human perception. In this paper the object detection problem is studied, analyzing and reviewing the most important and newest techniques. We propose a classification of all these techniques into different categories according to their main principle and features. Moreover, study and point out their proposed methods, weather condition mentioned for the proposed methods and some other conditions like as jamming, shadow effects on the vehicles.

References
  1. Y. Wang, "Joint random field model for all-weather moving vehicle detection," IEEE Trans. Image Process, vol. 19, no. 9, pp. 2491–2501,Sep. 2010.
  2. L. -W. Tsai, J. -W. Hsieh and K. -C. Fan, "Vehicle detection using normalized color and edge map," IEEE Trans. Image Process. , vol. 16, no. 3,pp. 850–864, Mar. 2007.
  3. W. Zhang, Q. M. J. Wu, and X. Yang, "Multilevel framework to detect and handle vehicle occlusion," IEEE Trans. Intell. Transp. Syst. , vol. 9, no. 1,pp. 161–174, Mar. 2008.
  4. N. K. Kanhere and S. T. Birchfield, "Real-time incremental segmentation and tracking of vehicles at low camera angles using stable features," IEEE Trans. Intell. Transp. Syst. , vol. 9, no. 1, pp. 148–160, Mar. 2008.
  5. Melo, A. Naftel, A. Bernardino, and J. Santos-Victor, "Detection and classification of highway lanes using vehicle motion trajectories," IEEE Trans. Intell. Transp. Syst. , vol. 7, no. 2, pp. 188–200, Jun. 2006.
  6. H. -Y. Cheng, B. -S. Jeng, P. -T. Tseng, and K. -C. Fan, "Lane detection with moving vehicles in the traffic scenes," IEEE Trans. Intell. Transp. Syst. ,vol. 7, no. 4, pp. 571–582, Dec. 2006.
  7. M. Vargas, J. M. Milla, S. L. Toral, and F. Barrero, "An enhanced background estimation algorithm for vehicle detection in urban traffic scenes,"IEEE Trans. Veh. Technol. , vol. 59, no. 8, pp. 3694–3709, Oct. 2010.
  8. J. Zhou, D. Gao, and D. Zhang, "Moving vehicle detection for automatic traffic monitoring," IEEE Trans. Veh. Technol. , vol. 56, no. 1, pp. 51–59, Jan. 2007.
  9. R. Cucchiara, M. Piccardi, and P. Mello, "Image analysis and rule-based reasoning for a traffic monitoring system," IEEE Trans. Intell. Transp. Syst. , vol. 1, no. 2, pp. 119–130, Jun. 2000.
  10. Bing-Fei Wu, Fellow, IEEE, and Jhy-Hong Juang,"Adaptive vehicle detector approach for complex envoirnmets," Trans. Intell. Transp. Syst. , vol. 13, no. 2, pp. 817–827, Jun. 2012.
Index Terms

Computer Science
Information Sciences

Keywords

Vehicle detection jamming traffic monitoring