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Proceedings Paper

Multiple-target tracking in a cluttered environment and intelligent track record
Author(s): Bernard Tomasini; Emmanuel Cassassolles; Patrice Poyet; Guy Maynard Maynard de Lavalette; Brigitte Siffredi
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Paper Abstract

The foremost difficulty in the Multiple Target Tracking (MTT) field involves the problem of associating the measurements with the tracks when there are missing reports and the proliferation of false reports generated by clutter. In this paper, in order to solve this return-to- track association as-well-as the estimation problem, we are proposing to associate Artificial Intelligence techniques and Signal Processing method. The Signal Processing method is the Multiple Hypothesis Filter (M.H.F.).

Paper Details

Date Published: 1 March 1991
PDF: 12 pages
Proc. SPIE 1468, Applications of Artificial Intelligence IX, (1 March 1991); doi: 10.1117/12.45449
Show Author Affiliations
Bernard Tomasini, Conseil Etudes Service Ingenierie (France)
Emmanuel Cassassolles, Conseil Etudes Service Ingenierie (France)
Patrice Poyet, Ctr. Scientifique et Technique du Batiment (France)
Guy Maynard Maynard de Lavalette, Directions des Constructions Navales (France)
Brigitte Siffredi, Directions des Constructions Navales (France)

Published in SPIE Proceedings Vol. 1468:
Applications of Artificial Intelligence IX
Mohan M. Trivedi, Editor(s)

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