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Motion Shapes: Empirical Studies and Neural Modeling

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Spatial Cognition III(Spatial Cognition 2002)

Part of the book series:Lecture Notes in Computer Science ((LNAI,volume 2685))

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Abstract

Any mobile agent able to interact with moving objects or other mobile agents requires the ability to process motion shapes. The human visual system is an excellent, fast and proven machinery for dealing with such information. In order to obtain insight into the properties of this biological machine and to transfer it to artificial agents we analyze the limitations and capabilities of human perception of motion shapes. Here we present new empirical results on the classification, extrapolation and prediction of motion shape with varying degrees of complexity. In addition, results on the processing of multisensory spatio-temporal information will be presented. We make use of our earlier argument for the existence of a spatio-temporal memory in early vision and use the basic properties of this structure in the first layer of a neural network model. We discuss major architectural features of this network, which is based on Kohonens self-organizing maps. This network can be used as an interface to further representational stage on which motion vectors are implemented in a qualitative way. Both components of this hybrid model are constrained by the results gained in the psychophysical experiments.

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Author information

Authors and Affiliations

  1. Institut für Medizinische Psychologie, Ludwig-Maximilians-Universität München, Germany

    Florian Röhrbein, Kerstin Schill & Christoph Zetzsche

  2. Institut für Informatik, Technische Universität München, Germany

    Volker Baier, Klaus Stein & Wilfried Brauer

Authors
  1. Florian Röhrbein

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  2. Kerstin Schill

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  3. Volker Baier

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  4. Klaus Stein

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  5. Christoph Zetzsche

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  6. Wilfried Brauer

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Editor information

Editors and Affiliations

  1. FB 3 - Mathematik und Informatik, Universität Bremen, Bibliothekstr. 1, 28359, Bremen, Germany

    Christian Freksa

  2. Fakultät für Informatik, Technishe Universität München, Boltzmannstr. 3, 85748, Garching bei München, Germany

    Wilfried Brauer

  3. Fachbereich Informatik, Universität Hamburg, Vogt-Kölln-Str. 30, 22527, Hamburg, Germany

    Christopher Habel

  4. FB 1 - Psychologie, Universität Trier, 54286, Trier, Germany

    Karl F. Wender

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© 2003 Springer-Verlag Berlin Heidelberg

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Röhrbein, F., Schill, K., Baier, V., Stein, K., Zetzsche, C., Brauer, W. (2003). Motion Shapes: Empirical Studies and Neural Modeling. In: Freksa, C., Brauer, W., Habel, C., Wender, K.F. (eds) Spatial Cognition III. Spatial Cognition 2002. Lecture Notes in Computer Science, vol 2685. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45004-1_18

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