Högskolan i Skövde

his.sePublikasjoner
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
DESIRER: a Development Environment for Situation Recognition Research
Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi. (Skövde Artificial Intelligence Lab (SAIL))
Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi. (Skövde Artificial Intelligence Lab (SAIL))
Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi. (Skövde Artificial Intelligence Lab (SAIL))ORCID-id: 0000-0001-8884-2154
2010 (engelsk)Inngår i: Proceedings 2010 Second WRI Global Congress on Intelligent Systems: GCIS 2010: Volume 1 / [ed] Xinhan Huang, Li Da Xu, Zu De Zhou, Zhun Fan, M. M. Gupta, & Pan Wang, Los Alamitos, CA: IEEE Computer Society, 2010, s. 143-148Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Situation recognition is an important problem within the surveillance domain, which addresses the problem of recognizing a priori defined patterns of interesting situations that may be of concurrent and temporal nature, and which possibly are occurring in the present flow of data and information. There may be many viable approaches, with different properties, for addressing this problem however, something they must have in common is good efficiency and high performance. In order to determine if a potential solution has these properties, it is a necessity to have access to test and development environments. In this paper we present DESIRER, a development environment for working with situation recognition, and for evaluating and comparing different approaches.

sted, utgiver, år, opplag, sider
Los Alamitos, CA: IEEE Computer Society, 2010. s. 143-148
Emneord [en]
Situation recognition, desirer: test-bed, recognition platform, situation assessment
HSV kategori
Forskningsprogram
Teknik
Identifikatorer
URN: urn:nbn:se:his:diva-5181DOI: 10.1109/GCIS.2010.87Scopus ID: 2-s2.0-79952418016ISBN: 978-0-7695-4304-8 ISBN: 978-1-4244-9247-3 OAI: oai:DiVA.org:his-5181DiVA, id: diva2:428977
Konferanse
2010 2nd WRI Global Congress on Intelligent Systems, GCIS 2010; Wuhan; 16 December 2010 through 17 December 2010
Tilgjengelig fra: 2011-07-01 Laget: 2011-07-01 Sist oppdatert: 2018-01-12bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekstScopus

Person

Dahlbom, AndersNiklasson, LarsFalkman, Göran

Søk i DiVA

Av forfatter/redaktør
Dahlbom, AndersNiklasson, LarsFalkman, Göran
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric

doi
isbn
urn-nbn
Totalt: 1142 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf