Fuzzy logic, multiple target tracking, and equivalence classes of random sets

Frederick E. Daum

doi:10.1117/12.217696

1 September 1995 Fuzzy logic, multiple target tracking, and equivalence classes of random sets

Frederick E. Daum

Proceedings Volume 2561, Signal and Data Processing of Small Targets 1995; (1995) https://doi.org/10.1117/12.217696
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

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.

Citation Download Citation

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available