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Automatic Vehicle Counting Approach Through Computer Vision for Traffic Management

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Computer Aided Systems Theory – EUROCAST 2017 (EUROCAST 2017)

Abstract

Technology based on sensors or cameras that is related to the field of Intelligent Transportation Systems (ITS) can help to alleviate road congestion problems by collecting and evaluating real time traffic data. In this paper, we present an approach to monitor traffic by collecting and processing video streaming information for further analysis in traffic management centers. Results showed a 94% rate of correct vehicle detections in a short period of time with a low rate of false detections.

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Correspondence to Cristina Olaverri-Monreal .

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Allamehzadeh, A., Aminian, M.S., Mostaed, M., Olaverri-Monreal, C. (2018). Automatic Vehicle Counting Approach Through Computer Vision for Traffic Management. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2017. EUROCAST 2017. Lecture Notes in Computer Science(), vol 10672. Springer, Cham. https://doi.org/10.1007/978-3-319-74727-9_48

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  • DOI: https://doi.org/10.1007/978-3-319-74727-9_48

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74726-2

  • Online ISBN: 978-3-319-74727-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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