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Article Dans Une Revue Information Fusion Année : 2014

Multi-target tracking with credal classification and kinematic data

Résumé

This article proposes a method to classify multiple maneuvering targets at the same time. This task is a much harder problem than classifying a single target, as sensors do not know how to assign captured measurements to known targets. This article extends previous results scattered in the literature and unifies them in a single global framework with belief functions. Through two examples, it is shown that the full algorithm using belief functions improves results obtained with standard Bayesian classifiers and that it can be applied to a large variety of applications.
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Dates et versions

hal-03354161 , version 1 (24-09-2021)

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Samir Hachour, François Delmotte, David Mercier, Eric Lefevre. Multi-target tracking with credal classification and kinematic data. Information Fusion, 2014, 20, pp.174-188. ⟨10.1016/j.inffus.2014.01.007⟩. ⟨hal-03354161⟩

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