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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KTH, Superseded Departments, Numerical Analysis and Computer Science, NADA.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)
URN: urn:nbn:se:kth:diva-40164OAI: diva2:443275

QC 20110923

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

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