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The Robot Vision Task

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Book cover ImageCLEF

Part of the book series: The Information Retrieval Series ((INRE,volume 32))

Abstract

In 2009, ImageCLEF expanded its tasks with the introduction of the first robot vision challenge. The overall focus of the challenge is semantic localization of a robot platform using visual place recognition. This is a key topic of research in the robotics community today. This chapter presents the goals and achievements of the first edition of the robot vision task. We describe the task, the method of data collection used and the evaluation procedure. We give an overview of the obtained results and briefly highlight the most promising approaches. We then outline how the task will evolve in the near and distant future.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Royal Institute of Technology, Stockholm, Sweden

    Andrzej Pronobis

  2. Centre du Parc, Idiap Research Institute, Rue Marconi 19, PO Box 592, CH-1920, Martigny, Switzerland

    Barbara Caputo

Authors
  1. Andrzej Pronobis
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  2. Barbara Caputo
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Corresponding author

Correspondence to Andrzej Pronobis .

Editor information

Editors and Affiliations

  1. HES-SO Business Information Systems, TechnoArk 3, Sierre, 3960, Switzerland

    Henning Müller

  2. Dept. Information Studies, University of Sheffield, Portobello Street 211, Sheffield, S1 4DP, United Kingdom

    Paul Clough

  3. , Computer Vision Lab/ETF-C 113.2, ETH Zürich, Zürich, 8092, Switzerland

    Thomas Deselaers

  4. Idiap Research Institute, rue Marconi 19, Martigny, 1920, Switzerland

    Barbara Caputo

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© 2010 Springer-Verlag Berlin Heidelberg

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Pronobis, A., Caputo, B. (2010). The Robot Vision Task. In: Müller, H., Clough, P., Deselaers, T., Caputo, B. (eds) ImageCLEF. The Information Retrieval Series, vol 32. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15181-1_10

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  • DOI: https://doi.org/10.1007/978-3-642-15181-1_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15180-4

  • Online ISBN: 978-3-642-15181-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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