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A low-cost vehicle counter for next-generation ITS

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Abstract

This paper describes a vehicle counter application to be used in low-cost and low-complexity devices to be deployed in next-generation pervasive Intelligent Transport Systems. The first part of the paper introduces the Linesensor theory, which exploits the temporal redundancy of the movement to enable the processing of a 1D images (i.e. lines), thus reducing the complexity for extracting features and understanding the environment. Because of the high speed of the objects to be detected, the proposed application requires a very high frame rate and consequently an optimised design for the whole computer vision pipeline. For these reasons, in the second part of the paper, we propose a low-complexity background modelling algorithm permitting to extract information related to the whole image from a single metric. Our arguments demonstrate that the proposed algorithm has comparable performance in the segmentation operation as other state-of-the-art techniques, but reducing significantly the computational cost.

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Authors and Affiliations

  1. TeCIP Institute, Scuola Superiore Sant’Anna, via Moruzzi 1, 56124, Pisa, Italy 

    Claudio Salvadori, Stefano Bocchino & Riccardo Pelliccia

  2. National Inter-University Consortium for Telecommunications, Pisa, Italy

    Matteo Petracca & Paolo Pagano

Authors
  1. Claudio Salvadori
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  2. Matteo Petracca
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  3. Stefano Bocchino
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  4. Riccardo Pelliccia
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  5. Paolo Pagano
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Correspondence to Claudio Salvadori.

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Salvadori, C., Petracca, M., Bocchino, S. et al. A low-cost vehicle counter for next-generation ITS. J Real-Time Image Proc 10, 741–757 (2015). https://doi.org/10.1007/s11554-014-0411-4

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  • DOI: https://doi.org/10.1007/s11554-014-0411-4

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