Group object structure and state estimation in the presence of measurement origin uncertainty.

Mihaylova, Lyudmila and Gning, Amadou (2009) Group object structure and state estimation in the presence of measurement origin uncertainty. In: Statistical Signal Processing, 2009. SSP '09. IEEE/SP 15th Workshop on. UNSPECIFIED, Cardiff, Wales, UK, 473 - 476. ISBN 978-1-4244-2709-3

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Abstract

This paper proposes a technique for motion and group structure estimation of moving targets based on evolving graph networks in the presence of measurement origin uncertainty. The proposed method, through an evolving graph model, allows to jointly estimate the group target and the group structure with the uncertainty. The performance of the algorithm is evaluated and results with real ground moving target indicator data are presented.

Item Type: Contribution in Book/Report/Proceedings
Additional Information: "©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE." "This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder." pp. 473-476 IEEE Catalog Number: CFP09SAP-CDR ISBN: 978-1-4244-2710-9 Library of Congress: 2008905779
Uncontrolled Keywords: /dk/atira/pure/researchoutput/libraryofcongress/qa75
Subjects:
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 28147
Deposited By: Dr L Mihaylov
Deposited On: 12 Nov 2009 09:41
Refereed?: Yes
Published?: Published
Last Modified: 14 Oct 2019 10:25
URI: https://eprints.lancs.ac.uk/id/eprint/28147

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