A Biologically Motivated System for Unconstrained Online Learning of Visual Objects

We present a biologically motivated system for object recognition that is capable of online learning of several objects based on interaction with a human teacher. The training is unconstrained in the sense that arbitrary objects can be freely presented in front of a stereo camera system and labeled...

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Hauptverfasser: Wersing, Heiko, Kirstein, Stephan, Götting, Michael, Brandl, Holger, Dunn, Mark, Mikhailova, Inna, Goerick, Christian, Steil, Jochen, Ritter, Helge, Körner, Edgar
Format: Buchkapitel
Sprache:eng
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Zusammenfassung:We present a biologically motivated system for object recognition that is capable of online learning of several objects based on interaction with a human teacher. 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. The architecture unites 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 fully online and thus avoids an artificial separation of the interaction into training and test phases.
ISSN:0302-9743
1611-3349
DOI:10.1007/11840930_53