Multiple-target tracking in a cluttered environment and intelligent track record

Bernard Tomasini; Emmanuel Cassassolles; Patrice Poyet; Guy Maynard Maynard de Lavalette; Brigitte Siffredi

doi:10.1117/12.45449

1 March 1991 Multiple-target tracking in a cluttered environment and intelligent track record

Bernard Tomasini, Emmanuel Cassassolles, Patrice Poyet, Guy Maynard Maynard de Lavalette, Brigitte Siffredi

Proceedings Volume 1468, Applications of Artificial Intelligence IX; (1991) https://doi.org/10.1117/12.45449
Event: Orlando '91, 1991, Orlando, FL, United States

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.).

Citation Download Citation

Bernard Tomasini, Emmanuel Cassassolles, Patrice Poyet, Guy Maynard Maynard de Lavalette, and Brigitte Siffredi "Multiple-target tracking in a cluttered environment and intelligent track record", Proc. SPIE 1468, Applications of Artificial Intelligence IX, (1 March 1991); https://doi.org/10.1117/12.45449

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