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
Using SVM for efficient detection of human motion
FOI, Stockholm.ORCID iD: 0000-0002-5750-9655
2005 (English)In: 2nd Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, VS-PETS, 2005, 231-238 p.Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2005. 231-238 p.
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-49454DOI: 10.1109/VSPETS.2005.1570920Scopus ID: 2-s2.0-33846632374OAI: oai:DiVA.org:kth-49454DiVA: diva2:459699
Conference
2nd Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, VS-PETS. Beijing. 15 October 2005 - 16 October 2005
Note
QC 20111201Available from: 2011-11-28 Created: 2011-11-28 Last updated: 2011-12-01Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Authority records BETA

Kjellström, Hedvig

Search in DiVA

By author/editor
Kjellström, Hedvig
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 27 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