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
Efficient Spatiotemporal Filtering and Modelling
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.
1996 (English)Licentiate thesis, monograph (Other academic)
Abstract [en]

The thesis describes novel methods for efficient spatiotemporal filtering and modeling. A multiresolution algorithm for energy-based estimation and representation of local spatiotemporal structure by second order symmetric tensors is presented. The problem of how to properly process estimates with varying degree of reliability is addressed. An efficient spatiotemporal implementation of a certainty-based signal modeling method called normalized convolution is described. As an application of the above results, a smooth pursuit motion tracking algorithm that uses observations of both target motion and position for camera head control and motion prediction is described. The target is detected using a novel motion field segmentation algorithm which assumes that the motion fields of the target and its immediate vicinity, at least occasionally, each can be modeled by a single parameterized motion model. A method to eliminate camera-induced background motion in the case of a pan/tilt rotating camera is suggested.

Place, publisher, year, edition, pages
Linköping, Sweden: Linköping University, Department of Electrical Engineering , 1996. , 93 p.
Series
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 562
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-53287Local ID: LiU-Tek-Lic-1996:27ISBN: 91-7871-741-8 (print)OAI: oai:DiVA.org:liu-53287DiVA: diva2:288261
Presentation
(English)
Available from: 2010-01-20 Created: 2010-01-20 Last updated: 2010-05-03Bibliographically approved

Open Access in DiVA

Efficient Spatiotemporal Filtering and Modelling(4175 kB)478 downloads
File information
File name FULLTEXT03.pdfFile size 4175 kBChecksum SHA-512
d33258e7a4c5e0d180678fc02d3b649ec62499d0bf0c6846ef6bfdf81dd4e80987175c64b890db9938bd417b9c4ed956a52b0c201085f9c66b0b563439c842c9
Type fulltextMimetype application/pdf

By organisation
Computer VisionThe Institute of Technology
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 485 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

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 178 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