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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
  1. Kun Wu, Haiying Zhang, Tianmao Xu and Ju Song, 2011 Overview of Video-Based Vehicle Detection Technologies,6th International Conference on Computer Science & Education (ICCSE 2011)
  2. Qiong Cao, Rujie Liu, Fei Li and Yuehong Wang. 2010 An Automatic Vehicle Detection Method Method Based on Traffic Videos. In Proceedings of IEEE 17th International Conference on Image Processing.
  3. B. Karasulu and S. Korukoglu, "Performance Evaluation Software", SpringerBriefs 7 in Computer Science, DOI: 10. 1007/978-1-4614-6534-8_2, © The Author(s) 2013
  4. Bin Tian, Qingming Yao, Yuan Gu, Kunfeng Wang and Ye Li,2011 Video Processing Techniques for Traffic Flow Monitoring: A Survey, 14th International IEEE Conference on Intelligent Transportation Systems Washington, DC, USA.
  5. Zhang Yuanyuan, Zhang kaiwen and Mao Yuming, 2012 Research on Vehicle detection method based on video Images, in International Conference on Industrial Control and Electronics Engineering, IEEE
  6. R. K. Satzoda, S. Suchitra, T. Srikanthan and J. Y. Chia, 2011,Vision-based Vehicle Queue Detection at Traffic Junctions, IEEE Conference on Industrial Electronics and Applications (ICIEA).
  7. Saket Bhardwaja and Ajay Mittalb,2012, A Survey on Various Edge Detector Techniques, in Procedia Technology 4 , Published by Elsevier Ltd, pp 220 – 226,
  8. Wen-Kai Tsai, Shao-Lung Wu, Li-Juo Lin, Tse-Min Chen and Ming-Hua Li, 2014 Edge-based Forward Vehicle Detection Method for Complex Scene, ICCE .
  9. Jingwei Liu, Yong Zhao, Yule Yuan, Wei Luo and Kai Liu,2011,Vehicle Capturing and Counting Using A New Edge Extraction Approach, International IEEE Conference on Intelligent Transportation Systems Washington, DC, USA.
Index Terms

Computer Science
Information Sciences

Keywords

Intelligent Transport System Background subtraction optical flow frame differencing edge detection