Online learning for bootstrapping of object recognition and localization in a biologically motivated architecture

  • Authors:
  • Heiko Wersing;Stephan Kirstein;Bernd Schneiders;Ute Bauer-Wersing;Edgar Körner

  • Affiliations:
  • Honda Research Institute Europe GmbH, Offenbach/Main, Germany;Technical University of Ilmenau, Ilmenau, Germany;University of Applied Sciences Trier, Birkenfeld, Germany;Univ. of Applied Sciences Frankfurt, Frankfurt, Germany;Honda Research Institute Europe GmbH, Offenbach/Main, Germany

  • Venue:
  • ICVS'08 Proceedings of the 6th international conference on Computer vision systems
  • Year:
  • 2008

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Abstract

We present a modular architecture for recognition and localization of objects in a scene that is motivated from coupling the ventral ("what") and dorsal ("where") pathways of human visual processing. Our main target is to demonstrate how online learning can be used to bootstrap the representation from nonspecific cues like stereo depth towards object-specific representations for recognition and detection. We show the realization of the system learning objects in a complex realworld environment and investigate its performance.