License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagSemProc.05491.8
URN: urn:nbn:de:0030-drops-10310
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2007/1031/
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Flores, Christoph

Processing networks for the classification of motion --- a proposal

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05491.FloresChristoph.Paper.1031.pdf (0.1 MB)

Abstract

Spoken-of motion is usually conceptualised as a change of existential states (an entity moves from A to B in order to change its potentiality for further action), while perceived motion is usually only conceptualised as a change of position. As a means of technically tracking motions, we can think of processing-networks tied to both, sensors and read-out devices, that use a process orientated internal evaluation of incoming data. Properly chosen, they eliminate the difference between detecting a shift of state and detecting a shift of position. A proposal for the layout and use of processing elements in such a network is presented --- as an early general construction idea with an invitation to ask questions about its usability.

BibTeX - Entry

@InProceedings{flores:DagSemProc.05491.8,
  author =	{Flores, Christoph},
  title =	{{Processing networks for the classification of motion --- a proposal}},
  booktitle =	{Spatial Cognition: Specialization and Integration},
  pages =	{1--4},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2007},
  volume =	{5491},
  editor =	{Anthony G. Cohn and Christian Freksa and Bernhard Nebel},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2007/1031},
  URN =		{urn:nbn:de:0030-drops-10310},
  doi =		{10.4230/DagSemProc.05491.8},
  annote =	{Keywords: Processing-Networks, State Change during Motion, Motion Classification}
}

Keywords: Processing-Networks, State Change during Motion, Motion Classification
Collection: 05491 - Spatial Cognition: Specialization and Integration
Issue Date: 2007
Date of publication: 04.06.2007

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