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

Prutha YM.1 , Anuradha SG2

Section:Research Paper, Product Type: Journal Paper
Volume-2 , Issue-5 , Page no. 80-92, May-2014

Online published on May 31, 2014

Copyright © Prutha YM., Anuradha SG . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Prutha YM., Anuradha SG, “Morphological Image Processing Approach of Vehicle Detection for Real-Time Traffic Analysis,” International Journal of Computer Sciences and Engineering, Vol.2, Issue.5, pp.80-92, 2014.

MLA Style Citation: Prutha YM., Anuradha SG "Morphological Image Processing Approach of Vehicle Detection for Real-Time Traffic Analysis." International Journal of Computer Sciences and Engineering 2.5 (2014): 80-92.

APA Style Citation: Prutha YM., Anuradha SG, (2014). Morphological Image Processing Approach of Vehicle Detection for Real-Time Traffic Analysis. International Journal of Computer Sciences and Engineering, 2(5), 80-92.

BibTex Style Citation:
@article{YM._2014,
author = {Prutha YM., Anuradha SG},
title = {Morphological Image Processing Approach of Vehicle Detection for Real-Time Traffic Analysis},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2014},
volume = {2},
Issue = {5},
month = {5},
year = {2014},
issn = {2347-2693},
pages = {80-92},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=164},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=164
TI - Morphological Image Processing Approach of Vehicle Detection for Real-Time Traffic Analysis
T2 - International Journal of Computer Sciences and Engineering
AU - Prutha YM., Anuradha SG
PY - 2014
DA - 2014/05/31
PB - IJCSE, Indore, INDIA
SP - 80-92
IS - 5
VL - 2
SN - 2347-2693
ER -

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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 .

Key-Words / Index Term

Morphological Operations, Background Subtraction, Edge Detection, Thresholding

References

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