Cooperative vision in a multi-agent architecture

  • Norbert Oswald
  • Paul Levi
Session 8: Recognition
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1310)

Abstract

We present the concept of cooperative vision and its application to a multi-agent system with special attention to the integration of vision. Cooperative vision can be described as a type of distributed vision, where several agents working in a shared environment are involved. The object recognition task was distributed to several agents in order to demonstrate the concept of cooperative vision. This enables, on the one hand, a verification of objects by several agents and, on the other hand, a localization of spatial positions of other agents. A Bayesian approach is used for the combination of conclusions of several agents. Experiments done so far show significant results with regard to both tasks.

Keywords

Orientation Angle Recognition Result Localization Task Verification Task Agent Architecture 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Norbert Oswald
    • 1
  • Paul Levi
    • 1
  1. 1.Institute of Parallel and Distributed High-Performance Systems, Applied Computer Science - Image UnderstandingUniversity of StuttgartStuttgartGermany

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