Abstract
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.
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Steil, J.J., Wersing, H.: Recent trends in online learning for cognitive robotics. In: Proc. ESANN, pp. 77–87. Springer, Heidelberg (2006)
Wersing, H., Körner, E.: Learning optimized features for hierarchical models of invariant recognition. Neural Computation 15(7), 1559–1588 (2003)
Jebara, T., Pentland, A.: Action reaction learning: Automatic visual analysis and synthesis of interactive behaviour. In: Int. Conf. Computer Vision Systems (1999)
Garcia, L.M., Oliveira, A.A.F., Grupen, R.A., Wheeler, D.S., Fagg, A.H.: Tracing patterns and attention: Humanoid robot cognition. IEEE Intelligent Systems 15(4), 70–77 (2000)
Steels, L., Kaplan, F.: AIBO’s first words. The social learning of language and meaning. Evolution of Communication 4(1), 3–32 (2001)
Roy, D., Pentland, A.: Learning words from sights and sounds: a computational model. Cognitive Science 26(1), 113–146 (2002)
Arsenio, A.: Developmental learning on a humanoid robot. In: Proc. Int. Joint Conf. Neur. Netw, Budapest, pp. 3167–3172 (2004)
Bekel, H., Bax, I., Heidemann, G., Ritter, H.: Adaptive computer vision: Online learning for object recognition. In: Proc. DAGM, Tuebingen, pp. 447–454 (2004)
Kirstein, S., Wersing, H., Körner, E.: Rapid online learning of objects in a biologically motivated recognition architecture. In: 27th Pattern Recognition Symposium DAGM, pp. 301–308. Springer, Heidelberg (2005)
Goerick, C., Wersing, H., Mikhailova, I., Dunn, M.: Peripersonal space and object recognition for humanoids. In: Proc. Humanoids Conf., Tsukuba (2005)
Götting, M., Steil, J., Wersing, H., Körner, E., Ritter, H.: Adaptive scenedependent filters in online learning environments. In: Proceedings Eur. Symp. Neur. Netw. ESANN, Bruges (2006)
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© 2006 Springer-Verlag Berlin Heidelberg
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Wersing, H. et al. (2006). A Biologically Motivated System for Unconstrained Online Learning of Visual Objects. In: Kollias, S., Stafylopatis, A., Duch, W., Oja, E. (eds) Artificial Neural Networks – ICANN 2006. ICANN 2006. Lecture Notes in Computer Science, vol 4132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11840930_53
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DOI: https://doi.org/10.1007/11840930_53
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-38871-5
Online ISBN: 978-3-540-38873-9
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