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Trajectory clustering for coastal surveillance
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre. (Skövde Cognition and Artificial Intelligence Lab (SCAI))
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre. (Skövde Cognition and Artificial Intelligence Lab (SCAI))
2007 (English)In: 10th International Conference on Information Fusion (FUSION 2007), IEEE, 2007, p. 1-8Conference paper, Published paper (Refereed)
Abstract [en]

Achieving superior situation awareness is a key task for military, as well as civilian, decision makers. Today, automatic systems provide us with an excellent opportunity for assisting the human decision maker in achieving this awareness. Due to the potential of information overload one important aspect is to understand where to focus attention. Anomaly detection is concerned with finding deviations from normalcy and it is an increasingly important topic when providing decision support, since it can give hints towards where more analysis is needed. In this paper we explore trajectory clustering as a means for representing normal behavior in a coastal surveillance scenario. Trajectory clustering however suffers from some drawbacks in this type of setting and we therefore propose a new approach, spline-based clustering, with a potential for solving the task of representing the normal course of events.

Place, publisher, year, edition, pages
IEEE, 2007. p. 1-8
Keywords [en]
anomaly detection, normal behavior, normal representation, spline-based clustering, trajectory clustering, coastal surveillance
National Category
Computer Sciences
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-2113DOI: 10.1109/ICIF.2007.4408114ISI: 000256950200151Scopus ID: 2-s2.0-50149087141ISBN: 978-0-662-45804-3 (electronic)OAI: oai:DiVA.org:his-2113DiVA, id: diva2:32389
Conference
FUSION 2007 - 2007 10th International Conference on Information Fusion, Quebec, Canada, 9-12 July 2007
Available from: 2008-05-30 Created: 2008-05-30 Last updated: 2021-03-02Bibliographically approved

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Dahlbom, AndersNiklasson, Lars

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf