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Proceedings Paper

Multisensor data fusion model for multitarget tracking
Author(s): Hamid Rasoulian; Wiley E. Thompson; Louis F. Kazda; Ramon Parra-Loera
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Paper Abstract

The problem of fusion of mnultisensor data for multitarget tracking is considered. A fusion model is presented for fusion of numeric and nonnumeric data from multiple sensors and a clustering technique is introduced. A modified version of Dempster theory is used to combine evidence and to determine object type. An example is presented to illustrate the effectiveness and methodology. 1.

Paper Details

Date Published: 1 September 1990
PDF: 11 pages
Proc. SPIE 1297, Hybrid Image and Signal Processing II, (1 September 1990); doi: 10.1117/12.21293
Show Author Affiliations
Hamid Rasoulian, New Mexico State Univ. (United States)
Wiley E. Thompson, New Mexico State Univ. (United States)
Louis F. Kazda, New Mexico State Univ. (United States)
Ramon Parra-Loera, New Mexico State Univ. (United States)


Published in SPIE Proceedings Vol. 1297:
Hybrid Image and Signal Processing II
David P. Casasent; Andrew G. Tescher, Editor(s)

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