Real-Time Vehicle Queue Detection at Urban Traffic Intersection using Image Processing

Authors

  • Divya Sahgal Assistant Professor, Amity University Haryana, India
  • Dr. A. Ramesh Assistant Professor, Indian Institute of Technology Roorkee, India
  • Prof. M. Parida Professor and Dean SRIC, Indian Institute of Technology Roorkee, India

Abstract

The present study proposes a vision-based technique for Vehicle Queue Detection at Urban Traffic Intersection.  The methodology used in this approach is based on image processing. System components include: 1) image sensors - images are captured by a camera; 2) central processing unit (CPU) - processes the various image related tasks; 3) MATLAB software to execute algorithm and used as an image processing tool. Gabor wavelets technique has been used to extract features from images.  The proposed system works effectively in different situations to ensure efficient vehicle detection at the traffic intersection.

Keywords: MATLAB, Vision-Based, Vehicle queue detection, Image Processing

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Published

2018-03-11

How to Cite

Sahgal, D., Ramesh, D. A., & Parida, P. M. (2018). Real-Time Vehicle Queue Detection at Urban Traffic Intersection using Image Processing. International Journal of Engineering Science and Generic Research, 4(2). Retrieved from https://ijesar.in/index.php/ijesar/article/view/108

Issue

Vol. 4 No. 2 (2018)

Section

Articles

License

Creative Commons LicenseInternational Journal of Engineering Science and Generic Research (IJESAR) by Articles is licensed under a Creative Commons Attribution 4.0 International License.