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Proceedings Paper

Fuzzy logic, multiple target tracking, and equivalence classes of random sets
Author(s): Frederick E. Daum
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Paper Abstract

Surprisingly, fuzzy sets (in the guise of equivalence classes of random sets) arises naturally in a Bayesian analysis of bounds on performance for tracking in a dense multiple target environment. This talk will explain the connection between these ideas. Moreover, the use of fuzzy sets as `primitives' has promise to reduce the computational complexity of real-time approximate multiple hypothesis tracking algorithms.

Paper Details

Date Published: 1 September 1995
PDF: 7 pages
Proc. SPIE 2561, Signal and Data Processing of Small Targets 1995, (1 September 1995); doi: 10.1117/12.217696
Show Author Affiliations
Frederick E. Daum, Raytheon Co. (United States)


Published in SPIE Proceedings Vol. 2561:
Signal and Data Processing of Small Targets 1995
Oliver E. Drummond, Editor(s)

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