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Qualitative Motion Representation in Egocentric and Allocentric Frames of Reference

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Spatial Information Theory. Cognitive and Computational Foundations of Geographic Information Science (COSIT 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1661))

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Abstract

In qualitative motion representation, frames of reference play an important role as well in measuring of the motion data as in representation and application of algorithms. This paper discusses motion representation in egocentric and allocentric frames of reference and begins with some general considerations on motion representation through qualitative distances and directions that apply to both technical and biological systems. An approach that involves incremental numeric generalization of a numerically represented motion track and subsequent transformation in a qualitative representation has advantages for technical systems, though. Last, algorithms for generalizing qualitatively represented motion tracks in egocentric and allocentric frames of reference are presented.

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Author information

Authors and Affiliations

  1. Institut für Informatik, Technische Universität München, D-80290, München, Germany

    Alexandra Musto & Klaus Stein

  2. Institut für medizinische Psychologie, Ludwig-Maximilians-Universität München, D-80336, MüCnchen, Germany

    Kerstin Schill, Andreas Eisenkolb & Wilfried Brauer

Authors
  1. Alexandra Musto
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  2. Klaus Stein
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  3. Kerstin Schill
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  4. Andreas Eisenkolb
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  5. Wilfried Brauer
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Editor information

Editors and Affiliations

  1. Universität Hamburg, Fachbereich Informatik, Vogt-Kölln-Straße 30, D-22527, Hamburg, Germany

    Christian Freksa

  2. Department of Geography, State University of New York at Buffalo, Buffalo, NY, 14261, USA

    David M. Mark

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© 1999 Springer-Verlag Berlin Heidelberg

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Musto, A., Stein, K., Schill, K., Eisenkolb, A., Brauer, W. (1999). Qualitative Motion Representation in Egocentric and Allocentric Frames of Reference. In: Freksa, C., Mark, D.M. (eds) Spatial Information Theory. Cognitive and Computational Foundations of Geographic Information Science. COSIT 1999. Lecture Notes in Computer Science, vol 1661. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48384-5_30

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  • DOI: https://doi.org/10.1007/3-540-48384-5_30

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66365-2

  • Online ISBN: 978-3-540-48384-7

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