Multidimensional assignment formulation of data association problems arising from multitarget and multisensor tracking
type: Item
instance of: scholarly article
title: Multidimensional assignment formulation of data association problems arising from multitarget and multisensor tracking
zbMATH Open document ID: 0818.93070
DOI: 10.1007/BF01299390
author: Aubrey B. Poore
published in: Computational Optimization and Applications
publication date: 1994-04-28T00:00:00Z
review text: A general class of data association problems in multitarget tracking is related to multidimensional assignment problems in such a way that Lagrangian relaxation based algorithms are applicable. The objective function is derived from a negative log-posterior function or a likelihood function for each of the tracks. An assignment formulation of multiple hypothesis tracking for multitarget tracking is also considered.
Mathematics Subject Classification ID: 93E10
zbMATH DE Number: 540129
zbMATH Keywords: data association
zbMATH Keywords: multitarget tracking
zbMATH Keywords: multidimensional assignment problems
zbMATH Keywords: multiple hypothesis tracking
reviewed by: Wilfried Grecksch
MaRDI profile type: Publication
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description: scientific article; zbMATH DE number 540129