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Proceedings Paper

Fusion algorithm for data including kinematic and attribute
Author(s): Yi-Nang Chung; Joy I. Z. Chen
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Paper Abstract

The main advantage of a multi-sensor fusion approach is to complement the data of one sensor with that of another sensor in order to obtain better target measurement information and to make a more accuracy estimation. In this paper, one image processing along with neural network algorithm is applied to solve the attribute information. The fundamental idea of this paper is that one decentralized estimation approach for a sensor fusion problems in which a Bayesian mathematical structure denoted 1-step maximum a posteriori estimate algorithm is applied for the data association. In such an algorithm, one also applied a techniques to combine the target attribute data to enhance the tracking results.

Paper Details

Date Published: 1 September 1995
PDF: 11 pages
Proc. SPIE 2561, Signal and Data Processing of Small Targets 1995, (1 September 1995); doi: 10.1117/12.217714
Show Author Affiliations
Yi-Nang Chung, Da-Yeh Institute of Technology (Taiwan)
Joy I. Z. Chen, Da-Yeh Institute of Technology (Taiwan)

Published in SPIE Proceedings Vol. 2561:
Signal and Data Processing of Small Targets 1995
Oliver E. Drummond, Editor(s)

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