Multitarget filtering with linearized complexity
Multitarget filtering with linearized complexity
An algorithm for the estimation of multiple targets from partial and corrupted observations is introduced based on the concept of a partially distinguishable multitarget system. It combines the advantages of engineering solutions like multiple hypothesis tracking with the rigor of point-process-based methods. It is demonstrated that under intuitive assumptions and approximations, the complexity of the proposed multitarget estimation algorithm can be made linear in terms of the number of tracks and the number of observations, while naturally preserving distinct tracks for detected targets, unlike point-process-based methods.
Multi-target tracking, partial information
4957-4970
Houssineau, Jeremie
89988b62-a668-4560-b49f-c1686ba7b584
Clark, Daniel E.
537f80e8-cbe6-41eb-b1d4-31af1f0e6393
15 September 2018
Houssineau, Jeremie
89988b62-a668-4560-b49f-c1686ba7b584
Clark, Daniel E.
537f80e8-cbe6-41eb-b1d4-31af1f0e6393
Houssineau, Jeremie and Clark, Daniel E.
(2018)
Multitarget filtering with linearized complexity.
IEEE Transactions on Signal Processing, 66 (18), .
(doi:10.1109/TSP.2018.2863672).
Abstract
An algorithm for the estimation of multiple targets from partial and corrupted observations is introduced based on the concept of a partially distinguishable multitarget system. It combines the advantages of engineering solutions like multiple hypothesis tracking with the rigor of point-process-based methods. It is demonstrated that under intuitive assumptions and approximations, the complexity of the proposed multitarget estimation algorithm can be made linear in terms of the number of tracks and the number of observations, while naturally preserving distinct tracks for detected targets, unlike point-process-based methods.
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e-pub ahead of print date: 8 August 2018
Published date: 15 September 2018
Additional Information:
Funding Information:
Manuscript received December 3, 2017; revised April 13, 2018, May 30, 2018, and July 2, 2018; accepted July 31, 2018. Date of publication August 8, 2018; date of current version August 23, 2018. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. D. Robert Iskander. This work was supported by Naval Group. (Corresponding author: Jeremie Houssineau.) J. Houssineau is with the Department of Statistics and Applied Probability, National University of Singapore, Singapore 117546 (e-mail:,stahje@nus. edu.sg).
Publisher Copyright:
© 1991-2012 IEEE.
Keywords:
Multi-target tracking, partial information
Identifiers
Local EPrints ID: 475505
URI: http://eprints.soton.ac.uk/id/eprint/475505
ISSN: 1053-587X
PURE UUID: 66333b44-7f9e-45b1-91be-29157dcc2491
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Date deposited: 20 Mar 2023 17:48
Last modified: 17 Mar 2024 13:11
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Author:
Jeremie Houssineau
Author:
Daniel E. Clark
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