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Towards template-based situation recognition
Örebro University, School of Science and Technology.ORCID iD: 0000-0002-3122-693X
2009 (English)In:  Intelligent sensing, situation management, impact assessment, and cyber-sensing / [ed] Stephen Mott, John F. Buford, Gabriel Jakobson, Michael J. Mendenhall, 2009, Vol. 7352, no 1, p. 7352 05-Conference paper, Published paper (Other academic)
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 re ognition 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. ©2009 SPIE.

Place, publisher, year, edition, pages
2009. Vol. 7352, no 1, p. 7352 05-
Series
Proceedings of SPIE, ISSN 0277-786X ; 7352
Keywords [en]
Situation analysis, Situation assessment, Situation awareness, Situation recognition, Template-based
National Category
Engineering and Technology Computer and Information Sciences
Research subject
Computer and Systems Science
Identifiers
URN: urn:nbn:se:oru:diva-14233DOI: 10.1117/12.818715ISBN: 9780819476180 (print)OAI: oai:DiVA.org:oru-14233DiVA, id: diva2:391688
Conference
Intelligent sensing, situation management, impact assessment, and cyber-sensing, 15-17 Apr 2009, Orlando, FL
Available from: 2011-01-25 Created: 2011-01-25 Last updated: 2018-01-12Bibliographically approved

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Loutfi, Amy

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CiteExportLink to record
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Citation style
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