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
Towards Template-based Situation Recognition
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre. (Skövde Artificial Intelligence Lab (SAIL))
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre. (Skövde Artificial Intelligence Lab (SAIL))
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre. (Skövde Artificial Intelligence Lab (SAIL))ORCID iD: 0000-0001-8884-2154
Örebro University.
2009 (English)In: Intelligent Sensing, Situation Management, Impact Assessment, and Cyber-Sensing: Proceedings of SPIE Defense, Security, and Sensing 2009 / [ed] Stephen Mott, John F. Buford, Gabe Jakobson, Michael J. Mendenhall, SPIE - International Society for Optical Engineering, 2009, Article ID 735205- p.Conference paper, (Refereed)
Abstract [en]

The process of tracking and identifying developing situations is an ability of importance within the surveillance domain. We refer to this as situation recognition and believe that it can enhance situation awareness for decision makers. Situation recognition requires that many subproblems are solved. For instance, we need to establish which situations are interesting, how to represent these situations, and which inferable events and states that can be used for representing them. We also need to know how to track and identify situations and how to determine the correlation between present information about situations with knowledge. For some of these subproblems, data-driven approaches are suitable, whilst knowledge-driven approaches are more suitable for others. In this paper we discuss our current research efforts and goals concerning template-based situation recognition. We provide a categorization of approaches for situation recognition together with a formalization of the template-based situation recognition problem. We also discuss this formalization in the light of a pick-pocket scenario. Finally, we discuss future directions for our research on situation recognition. We conclude that situation recognition is an important problem to look into for enhancing the overall situation awareness of decision makers.

Place, publisher, year, edition, pages
SPIE - International Society for Optical Engineering, 2009. Article ID 735205- p.
Series
Proceedings of SPIE--the International Society for Optical Engineering, v. 7352
Keyword [en]
Situation recognition, template-based, situation awareness, situation analysis, situation assessment
National Category
Computer and Information Science
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-3221DOI: 10.1117/12.818715Scopus ID: 2-s2.0-69849094111ISBN: 9780819476180 OAI: oai:DiVA.org:his-3221DiVA: diva2:225417
Conference
Intelligent sensing, situation management, impact assessment, and cyber-sensing : 15-17 April 2009, Orlando, Florida, United States
Available from: 2009-06-26 Created: 2009-06-26 Last updated: 2014-05-02Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Dahlbom, AndersNiklasson, LarsFalkman, Göran
By organisation
School of Humanities and InformaticsThe Informatics Research Centre
Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 768 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