Share Email Print
cover

Proceedings Paper

Random sets in data fusion problems
Author(s): Shozo Mori
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

A general theory of multi-object state-estimation problems, also known as multi-target tracking problems, is presented, using explicit random-set formalism. Probability density functions of random sets, as well as Choquet's capacity functionals, are used to represent random sets, in pursuit of the possibility of such a theory becoming a theoretical foundation of data fusion theory. The theoretical and algorithmic developments over the past three decades in this area are also re-examined in the light of this new formalism, as well as the recent development of correlation-free algorithms that utilize random-set formalism explicitly.

Paper Details

Date Published: 29 October 1997
PDF: 12 pages
Proc. SPIE 3163, Signal and Data Processing of Small Targets 1997, (29 October 1997); doi: 10.1117/12.279524
Show Author Affiliations
Shozo Mori, Raytheon TI Systems (United States)


Published in SPIE Proceedings Vol. 3163:
Signal and Data Processing of Small Targets 1997
Oliver E. Drummond, Editor(s)

© SPIE. Terms of Use
Back to Top