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1 September 1995 Fuzzy logic, multiple target tracking, and equivalence classes of random sets
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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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Frederick E. Daum "Fuzzy logic, multiple target tracking, and equivalence classes of random sets", Proc. SPIE 2561, Signal and Data Processing of Small Targets 1995, (1 September 1995); https://doi.org/10.1117/12.217696
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