his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
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
Evaluating Precise and Imprecise State-Based Anomaly Detectors for Maritime Surveillance
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre.
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre.
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre.
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre.
Show others and affiliations
2010 (English)In: Proceedings of the 13th International Conference on Information Fusion, IEEE conference proceedings, 2010, Article number 5711997- p.Conference paper, (Refereed)
Abstract [en]

We extend the State-Based Anomaly Detection approach by introducing precise and imprecise anomaly detectors using the Bayesian and credal combination operators, where evidences over time are combined into a joint evidence. We use imprecision in order to represent the sensitivity of the classification regarding an object being  normal or anomalous. We evaluate the detectors on a real-world maritime dataset containing recorded AIS data and show that the anomaly detectors outperform   previously proposed detectors based on Gaussian mixture models and kernel density estimators. We also show that our introduced anomaly detectors perform slightly better than the State-Based Anomaly Detection approach with a sliding window.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2010. Article number 5711997- p.
Keyword [en]
Anomaly detection, maritime surveillance, Bayesian combination operator, credal combination opr
National Category
Computer and Information Science
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-4636Scopus ID: 2-s2.0-79952419500ISBN: 978-1-9824438-1-1 (print)OAI: oai:DiVA.org:his-4636DiVA: diva2:391770
Conference
13th Conference on Information Fusion, Fusion 2010; Edinburgh; 26 July 2010 through 29 July 2010
Available from: 2011-01-25 Created: 2011-01-25 Last updated: 2013-03-11Bibliographically approved

Open Access in DiVA

No full text

Scopus

Search in DiVA

By author/editor
Brax, ChristofferKarlsson, AlexanderAndler, Sten F.Johansson, RonnieNiklasson, Lars
By organisation
School of Humanities and InformaticsThe Informatics Research Centre
Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar

Total: 1426 hits
CiteExportLink to record
Permanent link

Direct link
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