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Online Learning of Objects and Faces in an Integrated Biologically Motivated Architecture

By Heiko Wersing, Stephan Kirstein, Michael Goetting, Holger Brandl, Mark Dunn, Inna Mikhailova, Christian Goerick, Jochen Steil, Helge Ritter and Edgar Koerner

Abstract

We present a biologically motivated integrated vision system that is capable of online learning of several objects and faces in a unified representation. The training is unconstrained in the sense that arbitrary objects can be freely presented in front of a stereo camera system and labeled by speech input. We combine biological principles such as appearance-based representation in topographical feature detection hierarchies and context-driven transfer between different levels of object memory. The learning is driven by interactively sharing attention between user and system. It is fully online and avoids an artificial separation of the interaction into training and test phases

Topics: online learning, object recognition, attention, memory, Data processing, computer science, computer systems
Publisher: Faculties. Faculty of Technology, Research Groups in Informatics
Year: 2007
OAI identifier: oai:biecoll.ub.uni-bielefeld.de:25

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