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Journal of Electronic Imaging

Automatic vehicle counting system for traffic monitoring
Author(s): Alain Crouzil; Louahdi Khoudour; Paul Valiere; Dung Nghy Truong Cong
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Paper Abstract

The article is dedicated to the presentation of a vision-based system for road vehicle counting and classification. The system is able to achieve counting with a very good accuracy even in difficult scenarios linked to occlusions and/or presence of shadows. The principle of the system is to use already installed cameras in road networks without any additional calibration procedure. We propose a robust segmentation algorithm that detects foreground pixels corresponding to moving vehicles. First, the approach models each pixel of the background with an adaptive Gaussian distribution. This model is coupled with a motion detection procedure, which allows correctly location of moving vehicles in space and time. The nature of trials carried out, including peak periods and various vehicle types, leads to an increase of occlusions between cars and between cars and trucks. A specific method for severe occlusion detection, based on the notion of solidity, has been carried out and tested. Furthermore, the method developed in this work is capable of managing shadows with high resolution. The related algorithm has been tested and compared to a classical method. Experimental results based on four large datasets show that our method can count and classify vehicles in real time with a high level of performance (

Paper Details

Date Published: 1 June 2016
PDF: 12 pages
J. Electron. Imag. 25(5) 051207 doi: 10.1117/1.JEI.25.5.051207
Published in: Journal of Electronic Imaging Volume 25, Issue 5
Show Author Affiliations
Alain Crouzil, Univ. Paul Sabatier (France)
Louahdi Khoudour, ZELT Group-Ctr. for Technical Studies of South West (France)
Paul Valiere, Sopra Steria (France)
Dung Nghy Truong Cong, Ho Chi Minh City Univ. of Technology (Vietnam)

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