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Proceedings Paper

Decision Networks For Multisensor Integration In Computer Vision
Author(s): Amar Mitiche; T. C. Henderson; R. Laganiere
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Paper Abstract

The advantage in using several similar sensors has been demonstrated in the context of remote sensing and dynamic scene analysis. There have been few studies dealing with the use of several dissimilar sensors although the advantage is clear : different sensors are sensitive to different properties of the environment, each one of which can contribute significantly in interpreting this environment. One of the main problems, however, is to integrate in a meaningful fashion, the (possibly dissimilar) data collected by the various sensors. This paper examines the problem and suggests the use of decision networks.

Paper Details

Date Published: 5 January 1989
PDF: 9 pages
Proc. SPIE 1003, Sensor Fusion: Spatial Reasoning and Scene Interpretation, (5 January 1989); doi: 10.1117/12.948942
Show Author Affiliations
Amar Mitiche, INRS-Telecommunications (Canada)
T. C. Henderson, The University of Utah (United States)
R. Laganiere, INRS-Telecommunications (Canada)


Published in SPIE Proceedings Vol. 1003:
Sensor Fusion: Spatial Reasoning and Scene Interpretation
Paul S. Schenker, Editor(s)

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