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Galilean-diagonalized spatio-temporal interest operators
KTH, Superseded Departments, Numerical Analysis and Computer Science, NADA.ORCID iD: 0000-0002-9081-2170
KTH, Superseded Departments, Numerical Analysis and Computer Science, NADA.
KTH, Superseded Departments, Numerical Analysis and Computer Science, NADA.
2004 (English)In: Proc. 17th International Conference on Pattern Recognition (ICPR), 2004, 57-62 p.Conference paper, Published paper (Refereed)
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 second-moment 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
2004. 57-62 p.
Series
INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, ISSN 1051-4651
National Category
Computer Science Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:kth:diva-40228DOI: 10.1109/ICPR.2004.1334004ISI: 000223874500014Scopus ID: 2-s2.0-10044285777OAI: oai:DiVA.org:kth-40228DiVA: diva2:441205
Conference
17th International Conference on Pattern Recognition (ICPR)
Note

QC 20110915

Available from: 2013-04-19 Created: 2011-09-13 Last updated: 2013-04-19Bibliographically approved

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fulltext(168 kB)198 downloads
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Lindeberg, Tony

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CiteExportLink to record
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Citation style
  • apa
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Output format
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