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Published in:

Volume 5 Issue 4
April-2018
eISSN: 2349-5162

Unique Identifier

JETIR1804030

Page Number

146-150

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Title

Vehicle Detection and Count using Image Processing in Smart Traffic Management System

ISSN

2349-5162

Cite This Article

"Vehicle Detection and Count using Image Processing in Smart Traffic Management System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 4, page no.146-150, April-2018, Available :http://www.jetir.org/papers/JETIR1804030.pdf

Abstract

Today’s traffic management system uses pre-set timers for traffic lights to control traffic congestion, which is an open loop system that leads to an unreliable traffic management. This problem can be solved by using closed loop system in which we capture image of current traffic scenario and digitally process the captured image to count number of vehicles detected in each lane using image processing techniques based on object detection in MATLAB software. Therefore priority to lanes and timers for traffic lights will get set according to the density of traffic present in respective lanes. Vehicle detection and count is carried out using blob detection technique that uses the Blob Analysis block to calculate statistics for labeled regions in a binary image. Additionally, this system includes an application of ambulance detection. Ambulance detection is done using color thresholding technique by using the selected threshold value of siren of ambulance and priority will be given to that lane in which ambulance is detected irrespective of the traffic density.

Key Words

Close loop system, Vehicle detection, MATLAB, Blob detection, Color thresholding

Cite This Article

"Vehicle Detection and Count using Image Processing in Smart Traffic Management System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 4, page no. pp146-150, April-2018, Available at : http://www.jetir.org/papers/JETIR1804030.pdf

Publication Details

Published Paper ID: JETIR1804030
Registration ID: 180917
Published In: Volume 5 | Issue 4 | Year April-2018
DOI (Digital Object Identifier):
Page No: 146-150
ISSN Number: 2349-5162

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Cite This Article

"Vehicle Detection and Count using Image Processing in Smart Traffic Management System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 4, page no. pp146-150, April-2018, Available at : http://www.jetir.org/papers/JETIR1804030.pdf




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