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Supporting Maritime Situation Awareness Using Self Organizing Maps and Gaussian Mixture Models
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre. (SAIL)
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre. (SAIL)
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre. (SAIL)
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre.
2008 (English)In: Proceedings of the Tenth Scandinavian Conference on Artificial Intelligence (SCAI 2008) / [ed] Anders Holst, Per Kreuger, Peter Funk, Amsterdam: IOS Press, 2008, 84-91 p.Conference paper, (Refereed)
Abstract [en]

Maritime situation awareness is of importance in a lot of areas – e.g. detection of weapon smuggling in military peacekeeping operations, and harbor traffic control missions for the coast guard. In this paper, we have combined the use of Self Organizing Maps with Gaussian Mixture Models, in order to enable situation awareness by detecting deviations from normal behavior in an unsupervised way. Initial results show that simple anomalies can be detected using this approach.

Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2008. 84-91 p.
Series
Frontiers in Artificial Intelligence and Applications, ISSN 0922-6389 ; 173
Keyword [en]
anomaly detection, situation awareness, data mining, surveillance
National Category
Computer Science
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-3663ISI: 000273520700011Scopus ID: 2-s2.0-84867489381ISBN: 978-1-58603-867-0 OAI: oai:DiVA.org:his-3663DiVA: diva2:292599
Conference
10th Scandinavian Conference on Artificial Intelligence, SCAI 2008; Stockholm; 26 May 2008 through 28 May 2008
Available from: 2010-02-08 Created: 2010-02-08 Last updated: 2014-05-01Bibliographically approved

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Scopushttp://www.booksonline.iospress.nl/Content/View.aspx?piid=8981http://books.google.com/books?id=eju691VMQlsC&lpg=PA84&ots=4KW5Cmq9q1&dq=%22Supporting%20Maritime%20Situation%20Awareness%20Using%20Self%20Organizing%20Maps%20and%20Gaussian%20Mixture%20Models%22&pg=PA84#v=onepage&q=%22Supporting%20Maritime%20Situation%20Awareness%20Using%20Self%20Organizing%20Maps%20and%20Gaussian%20Mixture%20Models%22&f=falsehttp://dl.acm.org/citation.cfm?id=1566877

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