Bayesian inference network: applications to target tracking

Kwang H. Kim

doi:10.1117/12.139384

25 August 1992 Bayesian inference network: applications to target tracking

Kwang H. Kim

Proceedings Volume 1698, Signal and Data Processing of Small Targets 1992; (1992) https://doi.org/10.1117/12.139384
Event: Aerospace Sensing, 1992, Orlando, FL, United States

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.

Citation Download Citation

Kwang H. Kim "Bayesian inference network: applications to target tracking", Proc. SPIE 1698, Signal and Data Processing of Small Targets 1992, (25 August 1992); https://doi.org/10.1117/12.139384

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