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Attempting to increase the Performance of Petri net based Situation Recognition
Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi. (SAIL)
Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi. (SAIL)
Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi. (SAIL)
2010 (svensk)Inngår i: Proceedings of the 22nd Benelux Conference on Artificial Intelligence, Benelux Association for Artificial Intelligence , 2010Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Situation recognition is an important problem to solve for introducing new capabilities in surveillance applications. It is concerned with recognizing a priori defined situations of interest, which are characterized as being of temporal and concurrent nature. The purpose is to aid decision makers with focusing on information that is known to likely be important for them, given their goals. Besides the two most important problems: knowing what to recognize and being able to recognize it, there are three main problems coupled to real time recognition of situations. Computational complexity — we need to process data and information within bounded time. Tractability — human operators must be able to easily understand what is being modelled. Expressability — we must be able to express situations at suitable levels of abstraction. In this paper we attempt to lower the computational complexity of a Petri net based approach for situation.

sted, utgiver, år, opplag, sider
Benelux Association for Artificial Intelligence , 2010.
Serie
Belgian/Netherlands Artificial Intelligence Conference (BNAIC), ISSN 1568-7805
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URN: urn:nbn:se:his:diva-4713Scopus ID: 2-s2.0-84874012985OAI: oai:DiVA.org:his-4713DiVA, id: diva2:394252
Konferanse
22nd Benelux Conference on Artificial Intelligence, BNAIC 2010; Kirchberg; 25 October 2010 through 26 October 2010
Tilgjengelig fra: 2011-02-02 Laget: 2011-02-02 Sist oppdatert: 2018-01-12bibliografisk kontrollert

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Scopushttp://bnaic2010.uni.lu/Papers/Category%20A/Dahlborn.pdf

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Dahlbom, AndersNiklasson, LarsFalkman, Göran

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