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Self Organizing and Fuzzy Modelling for Parked Vehicles Detection

  • Conference paper
Advanced Concepts for Intelligent Vision Systems (ACIVS 2009)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5807))

Abstract

Our aim is to distinguish moving and stopped objects in digital image sequences taken from stationary cameras by a model based approach. A self-organizing model is adopted both for the scene background and for the scene foreground, that can handle scenes containing moving backgrounds or gradual illumination variations, helping in distinguishing between moving and stopped foreground regions. The model is enriched by spatial coherence to enhance robustness against false detections and fuzzy modelling to deal with decision problems typically arising when crisp settings are involved. We show through experimental results and comparisons that good accuracy values can be reached for color video sequences that represent typical situations critical for vehicles stopped in no parking areas.

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Author information

Authors and Affiliations

  1. ICAR - National Research Council, Via P. Castellino 111, 80131, Naples, Italy

    Lucia Maddalena

  2. DSA - University of Naples Parthenope Centro Direzionale, Isola C/4, 80143, Naples, Italy

    Alfredo Petrosino

Authors
  1. Lucia Maddalena
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  2. Alfredo Petrosino
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Editor information

Editors and Affiliations

  1. DGA/D4S/MRIS, CEP/GIP, 16 bis avenue Prieur de la côte d’or., 94114, Arcueil, France

    Jacques Blanc-Talon

  2. Department of Telecommunication and Information Processing, Ghent University, St.-Pietersnieuwstraat 41, 9000, Gent, Belgium

    Wilfried Philips

  3. CSIRO ICT Centre, Epping, Po Box 76, 1710, Sydney, NSW, Australia

    Dan Popescu

  4. University of Antwerp, Universiteitsplein 1; Building N., 2610, Wilrijk, Belgium

    Paul Scheunders

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© 2009 Springer-Verlag Berlin Heidelberg

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Maddalena, L., Petrosino, A. (2009). Self Organizing and Fuzzy Modelling for Parked Vehicles Detection. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2009. Lecture Notes in Computer Science, vol 5807. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04697-1_39

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  • DOI: https://doi.org/10.1007/978-3-642-04697-1_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04696-4

  • Online ISBN: 978-3-642-04697-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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