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Proceedings Paper

Bayesian inference network: applications to target tracking
Author(s): Kwang H. Kim
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Paper Abstract

Data fusion concepts have been applied in many disciplines, but a general systematic formulation has not been well developed. This paper is intended to provide a guideline in applying data fusion techniques to a practical problem, the fusion of target identification (ID) attributes measurements. Formation of a consensus function is first presented, and is followed by construction of a hierarchical probabilistic network for computing a joint probability density. An ID fusion processing approach is described and integrated into a generalized track/data association algorithm.

Paper Details

Date Published: 25 August 1992
PDF: 12 pages
Proc. SPIE 1698, Signal and Data Processing of Small Targets 1992, (25 August 1992); doi: 10.1117/12.139384
Show Author Affiliations
Kwang H. Kim, MITRE Corp. (United States)


Published in SPIE Proceedings Vol. 1698:
Signal and Data Processing of Small Targets 1992
Oliver E. Drummond, Editor(s)

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