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Automatic Vehicle Counting System for Traffic Monitoring

Crouzil, Alain and Khoudour, Louahdi and Valiere, Paul and Truong Cong, Dung Nghi Automatic Vehicle Counting System for Traffic Monitoring. (2016) Journal of Electronic Imaging, 25 (5). 1-12. ISSN 1017-9909

(Document in English)

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Official URL: http://dx.doi.org/10.1117/1.JEI.25.5.051207


The article is dedicated to the presentation of a vision-based system for road vehicles 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 to correctly locate in space and time moving vehicles. 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 the shadows with high resolution. The related algorithm has been tested and compared to a classical method. Experimental results based on four large data-sets show that our method can count and classify vehicles in real-time with a high level of performance (more than 98%) under different environmental situations, thus performing better than the conventional inductive loop detectors.

Item Type:Article
Additional Information:Thanks to SPIE SPIE, the international society for optics and photonics. The definitive version is available at http://spie.org. This papers appears in Volume 25, Journal of Electronic Imaging ISSN: 1017-9909. The original PDF is available at: http://spie.org/Publications/Journal/10.1117/1.JEI.25.5.051207
HAL Id:hal-01530099
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Other partners > Direction de la sécurité et de la circulation routières - DSCR (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Ho Chi Minh City University of Technology - HCMUT (VIETNAM)
Laboratory name:
Deposited On:02 May 2017 13:28

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