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Automatic Pedestrian Detection and Counting Applied to Urban Planning

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Book cover Ambient Intelligence (AmI 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6439))

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Abstract

The statistical knowledge of human flows in the streets is mandatory for urban planning. Today many cities use the expensive method of manual pedestrian counting, since there is no reliable automatic counting device. This project aims at achieving the first efficient, real-time, embedded and autonomous system that provides high-level data. Our first work focused on the development of a reliable counting method under MatlabTM. On the basis of video sequences recorded in the city of Mulhouse we have validated the robustness of our approach.

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Author information

Authors and Affiliations

  1. French-German Institute of Saint-Louis, ELSI, 5 rue du Général Cassagnou, 68300, Saint-Louis, France

    Thomas Michelat, Nicolas Hueber, Pierre Raymond & Alexander Pichler

  2. Ville de Mulhouse, Pôle Voirie, rue Lefèvre, 68100, Mulhouse, France

    Pascal Schaal & Bernard Dugaret

Authors
  1. Thomas Michelat
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  2. Nicolas Hueber
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  3. Pierre Raymond
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  4. Alexander Pichler
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  5. Pascal Schaal
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  6. Bernard Dugaret
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Editor information

Editors and Affiliations

  1. Philips Research Europe, User High Tech Campus 34 - WB - 4.053, 5656, Eindhoven, AE, The Netherlands

    Boris de Ruyter

  2. Fraunhofer, Institut für Graphische Datenverarbeitung IGD, , Fraunhoferstrasse 5, 64283, Darmstadt, Germany

    Reiner Wichert

  3. TU Delft, Landbergstraat 15, 2628, Delft, CE, The Netherlands

    David V. Keyson

  4. Eindhoven University of Technology, Den Dolech 2, 5600, Eindhoven, MB, The Netherlands

    Panos Markopoulos

  5. Smart Future Initiative, Konrad-Zuse-Str. 34, 60438, Frankfurt, Germany

    Norbert Streitz

  6. Norwegian University of Science and Technology, Sem Sælandsvei 7-9, 7491, Trondheim, Norway

    Monica Divitini

  7. Domaine de Voluceau, INRIA Paris-Rocquencourt, B.P. 105, 78153, Le Chesnay, France

    Nikolaos Georgantas

  8. E.T.S.I. Informatica, Bulevar Louis Pasteur, University of Malaga, 35, Campus de Teatinos, 29071, Malaga, Spain

    Antonio Mana Gomez

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© 2010 Springer-Verlag Berlin Heidelberg

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Michelat, T., Hueber, N., Raymond, P., Pichler, A., Schaal, P., Dugaret, B. (2010). Automatic Pedestrian Detection and Counting Applied to Urban Planning. In: de Ruyter, B., et al. Ambient Intelligence. AmI 2010. Lecture Notes in Computer Science, vol 6439. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16917-5_32

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  • DOI: https://doi.org/10.1007/978-3-642-16917-5_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16916-8

  • Online ISBN: 978-3-642-16917-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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