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