liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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
Detecting and Tracking Players in Football Using Stereo Vision
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.
2007 (English)Independent thesis Advanced level (degree of Master (One Year)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The objective of this thesis is to investigate if it is possible to use stereo vision to find and track the players and the ball during a football game.

The thesis shows that it is possible to detect all players that isn’t too occluded by another player. Situations when a player is occluded by another player is solved by tracking the players from frame to frame.

The ball is also detected in most frames by looking for ball-like features. As with the players the ball is tracked from frame to frame so that when the ball is occluded, the positions is estimated by the tracker.

Place, publisher, year, edition, pages
Institutionen för systemteknik , 2007. , 72 p.
Keyword [en]
Stereo vision, Football, Disparity estimation, Camera alibration, Image rectification
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:liu:diva-8327ISRN: LiTH−ISY−EX--07/3535--SEOAI: oai:DiVA.org:liu-8327DiVA: diva2:23152
Subject / course
Computer Vision Laboratory
Presentation
2007-01-22, Algoritmen, Hus B, Campus Valla, Linköpings universtitet, Linköping, 13:00
Uppsok
Technology
Supervisors
Examiners
Available from: 2007-03-21 Created: 2007-03-21 Last updated: 2012-07-02

Open Access in DiVA

fulltext(4800 kB)2102 downloads
File information
File name FULLTEXT01.pdfFile size 4800 kBChecksum SHA-1
eca0a6c2995439b7acb33445f012595588b60fda210a07b4120c89d63c5c55aed6cea757
Type fulltextMimetype application/pdf

By organisation
Computer VisionThe Institute of Technology
Computer Vision and Robotics (Autonomous Systems)

Search outside of DiVA

GoogleGoogle Scholar
Total: 2102 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: 607 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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