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Object Recognition with Multiple Observers

  • Conference paper
Autonome Mobile Systeme 2001

Part of the book series: Informatik aktuell ((INFORMAT))

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Abstract

This paper introduces an approach to recognize objects in a group of observers. The fundamental idea of this approach is based on the usage of cooperation at object level in order to overcome limitations of typical recognition applications which often lead to ambiguous interpretations. By integrating individual hypotheses which were calculated at spatial distributed viewpoints, the robustness of the recognition results can be increased significantly. Experiments confirm the benefit of fusing object hypotheses from multiple observers.

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Author information

Authors and Affiliations

  1. EADS Deutschland GmbH, Willy-Messerschmidt-Straße, D-81663, München, Germany

    Norbert Oswald

  2. Institute of Parallel and Distributed High-Performance Systems, University of Stuttgart, Breitwiesenstr. 20-22, D-70565, Stuttgart, Germany

    Paul Levi

Authors
  1. Norbert Oswald
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  2. Paul Levi
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Editor information

Editors and Affiliations

  1. Abteilung Bildverstehen Institut für Parallele und Verteilte Höchstleistungsrechner (IPVR), Fakultät Informatik, Universität Stuttgart, Breitwiesenstraße 20-22, 70565, Stuttgart, Germany

    Paul Levi  & Michael Schanz  & 

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© 2001 Springer-Verlag Berlin Heidelberg

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Oswald, N., Levi, P. (2001). Object Recognition with Multiple Observers. In: Levi, P., Schanz, M. (eds) Autonome Mobile Systeme 2001. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-56787-2_11

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  • DOI: https://doi.org/10.1007/978-3-642-56787-2_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42552-6

  • Online ISBN: 978-3-642-56787-2

  • eBook Packages: Springer Book Archive

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