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Proceedings Paper

A Fuzzy Representation For Event Occurrence
Author(s): Kenneth J. Overton; Dale E. Gaucas
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Paper Abstract

Activity recognition systems and their supporting temporal representations typically model the occurrence of an event using numeric values or numeric ranges for start times, finish times, and durations. Such an approach may not adequately reflect the uncertainty and variation experienced in real situations. This paper in-vestigates a more general representation for event duration and start time using fuzzy sets. From this representation, confidence functions are defined in support of reasoning about a sequence of event occurrences. The potential application of this approach to the problem of focus of attention in sensor allocation is discussed.

Paper Details

Date Published: 1 March 1990
PDF: 8 pages
Proc. SPIE 1198, Sensor Fusion II: Human and Machine Strategies, (1 March 1990); doi: 10.1117/12.970001
Show Author Affiliations
Kenneth J. Overton, GE Corporate Research and Development (United States)
Dale E. Gaucas, GE Corporate Research and Development (United States)

Published in SPIE Proceedings Vol. 1198:
Sensor Fusion II: Human and Machine Strategies
Paul S. Schenker, Editor(s)

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