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Improving maritime anomaly detection and situation awareness through interactive visualization
Högskolan i Skövde, Institutionen för kommunikation och information.ORCID iD: 0000-0003-2900-9335
Högskolan i Skövde, Forskningscentrum för Informationsteknologi.ORCID iD: 0000-0001-8884-2154
Högskolan i Skövde, Institutionen för kommunikation och information.ORCID iD: 0000-0001-6883-2450
2008 (English)In: Proceedings of the 11th International Conference on Information Fusion (FUSION 2008), IEEE Computer Society , 2008, p. 47-54Conference paper, Published paper (Refereed)
Abstract [en]

Surveillance of large land, air or sea areas with a multitude of sensor and sensor types typically generates huge amounts of data. Human operators trying to establish individual or collective maritime situation awareness are often overloaded by this information. In order to help them cope with this information overload, we have developed a combined methodology of data visualization, interaction and mining techniques that allows filtering out anomalous vessels, by building a model over normal behavior from which the user can detect deviations. The methodology includes a set of interactive visual representations that support the insertion of the user’s knowledge and experience in the creation, validation and continuous update of the normal model. Additionally, this paper presents a software prototype that implements the suggested methodology.

 

Place, publisher, year, edition, pages
IEEE Computer Society , 2008. p. 47-54
Keywords [en]
anomaly detection, interaction, visualization, situation awareness, visual data mining, visual analytics
National Category
Computer and Information Sciences
Research subject
Technology
Identifiers
URN: urn:nbn:se:hj:diva-43288Scopus ID: 2-s2.0-56749112449Local ID: 0;0;miljJAILISBN: 978-3-00-024883-2 (print)ISBN: 978-3-8007-3092-6 (print)OAI: oai:DiVA.org:hj-43288DiVA, id: diva2:1293839
Conference
11th International Conference on Information Fusion, FUSION 2008; Cologne; Germany; 30 June 2008 through 3 July 2008
Note

Best Student Paper Award.

Available from: 2010-02-01 Created: 2019-03-05 Last updated: 2019-08-23Bibliographically approved

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Riveiro, MariaFalkman, GöranZiemke, Tom

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • 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