Galilean-corrected spatio-temporal interest operators
2004 (English)Report (Other academic)
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.
Computer Science Computer Vision and Robotics (Autonomous Systems)
IdentifiersURN: urn:nbn:se:kth:diva-40164OAI: oai:DiVA.org:kth-40164DiVA: diva2:443275
QC 201109232011-09-232011-09-132015-07-14Bibliographically approved