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Feature-based Face Tracking using Extended Kalman Filtering
Linköping University, Department of Electrical Engineering, Image Coding. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Image Coding. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-6763-5487
2007 (English)Conference paper, Published paper (Other academic)
Abstract [en]

This work examines the possiblity to, with the computational power of today’s consumer hardware, employ techniques previously developed for 3D tracking of rigid objects, and use them for tracking of deformable objects. Our target objects are human faces in a video conversation pose, and our purpose is to create a deformable face tracker based on a head tracker operating in real-time on consumer hardware. We also investigate how to combine model-based and image based tracking in order to get precise tracking and avoid drift.

Place, publisher, year, edition, pages
Swedish Society for automated image analysis , 2007.
Keyword [en]
Face tracking, extended Kalman filtering, model-based coding
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:liu:diva-120559OAI: oai:DiVA.org:liu-120559DiVA: diva2:846266
Conference
Swedish Symposium on Image Analysis (SSBA), Linköping, Sweden, 14-15 mars 2007
Available from: 2015-08-14 Created: 2015-08-14 Last updated: 2015-09-21Bibliographically approved

Open Access in DiVA

fulltext(133 kB)237 downloads
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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