Morphological Image Processing Approach of Vehicle Detection for Real-Time Traffic Analysis

Authors

  • Prutha Y M Department of Computer Science and Engineering, Rao Bahadur Y Mahabaleswarappa Engineering College, Bellary-583104 Affiliated to VTU Belgaum, Karnataka
  • Anuradha S G Department of Computer Science and Engineering, Rao Bahadur Y Mahabaleswarappa Engineering College, Bellary-583104 Affiliated to VTU Belgaum, Karnataka

Keywords:

Morphological Operations, Background Subtraction, Edge Detection, Thresholding

Abstract

Along with the economical development, traffic has increased enormously these days. Due to the increasing urban population and hence the number of cars, need of controlling the traffic in streets, highways and roads is vital. In this paper, a system that detects the vehicle in real time in highway is done by using image processing. The implementation includes algorithms used for real time vehicle detection, which is based on background differencing and morphological operations. Another image processing technique used is the edge detection technique where the edges of the object is detected and other techniques for calculating traffic parameters such as counting the number of cars, speed of the cars by applying a threshold value .

References

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Published

2014-05-31

How to Cite

[1]
P. Y M and A. S G, “Morphological Image Processing Approach of Vehicle Detection for Real-Time Traffic Analysis”, Int. J. Comp. Sci. Eng., vol. 2, no. 5, pp. 88–92, May 2014.

Issue

Vol. 2 No. 5 (2014): IJCSE May Edition

Section

Research Article

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