umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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
Stationary Object Detection in Video
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2015 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Computer Vision is an expression which summarise the area of which image and video analysis is made automatically by computers after given instructions for a specific purpose. VCA (Video Content Analysis) is a subcategory which handles analysis on video files or cameras. The progress within VCA has been driven by the necessity of effective video surveillance in areas where high security is demanded. Object detection within VCA can be used not only for security but for notification of movement or stationary objects to provided sufficient measures.

Place, publisher, year, edition, pages
2015. , 40 p.
Series
UMNAD, 1040
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:umu:diva-108390OAI: oai:DiVA.org:umu-108390DiVA: diva2:852758
External cooperation
CodeMill
Educational program
Master of Science Programme in Computing Science and Engineering
Supervisors
Examiners
Available from: 2015-09-10 Created: 2015-09-10 Last updated: 2015-09-10Bibliographically approved

Open Access in DiVA

fulltext(4424 kB)463 downloads
File information
File name FULLTEXT01.pdfFile size 4424 kBChecksum SHA-512
f8401c5236d6a8d9166066734d7b28d9e9ded82e676167111de2049b3e3f4032a6e7259423cd9b53f55ab5362c378ad32fd216d31cf31f449a8ad815d49251b4
Type fulltextMimetype application/pdf

By organisation
Department of Computing Science
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 463 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 315 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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