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Galilean-corrected spatio-temporal interest operators
KTH, School of Computer Science and Communication (CSC), Computational Biology, CB.ORCID iD: 0000-0002-9081-2170
KTH, Superseded Departments, Numerical Analysis and Computer Science, NADA.
2004 (English)Report (Other academic)
Abstract [en]

This paper presents a set of image operators for detecting regions in space-time where interesting events occur. To define such regions of interest, we compute a spatio-temporal secondmoment matrix from a spatio-temporal scale-space representation, and diagonalize this matrix locally, using a local Galilean transformation in space-time, optionally combined with a spatial rotation, so as to make the Galilean invariant degrees of freedom explicit. From the Galilean-diagonalized descriptor so obtained, we then formulate different types of space-time interest operators, and illustrate their properties on different types of image sequences.

Place, publisher, year, edition, pages
Dept. of Numerical Analysis and Computer Science , 2004. , 25 p.
National Category
Computer Science Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:kth:diva-40164OAI: oai:DiVA.org:kth-40164DiVA: diva2:443275
Note

QC 20110923

Available from: 2011-09-23 Created: 2011-09-13 Last updated: 2015-07-14Bibliographically approved

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fulltext(573 kB)40 downloads
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Type fulltextMimetype application/pdf

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Lindeberg, Tony

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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