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Multi-target out-of-sequence data association : tracking using graphical models
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Maskell, Simon R., Everitt, Richard G., Wright, Robert and Briers, Mark (2006) Multi-target out-of-sequence data association : tracking using graphical models. Information Fusion, 7 (4). pp. 434-447. doi:10.1016/j.inffus.2005.07.001 ISSN 1566-2535.
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Official URL: https://doi.org/10.1016/j.inffus.2005.07.001
Abstract
When performing data fusion, one often measures where targets were and then wishes to deduce where targets currently are. There has been recent research on the processing of such out-of-sequence data. This research has culminated in the development of a number of algorithms for solving the associated tracking problem. This paper reviews these different approaches in a common Bayesian framework and proposes an architecture that orthogonalises the data association and out-of-sequence problems such that any combination of solutions to these two problems can be used together. The emphasis is not on advocating one approach over another on the basis of computational expense, but rather on understanding the relationships among the algorithms so that any approximations made are explicit. Results for a multi-sensor scenario involving out-of-sequence data association are used to illustrate the utility of this approach in a specific context.
Item Type: | Journal Article | ||||||||
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Statistics | ||||||||
Journal or Publication Title: | Information Fusion | ||||||||
Publisher: | Elsevier | ||||||||
ISSN: | 1566-2535 | ||||||||
Official Date: | December 2006 | ||||||||
Dates: |
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Volume: | 7 | ||||||||
Number: | 4 | ||||||||
Page Range: | pp. 434-447 | ||||||||
DOI: | 10.1016/j.inffus.2005.07.001 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||
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