Galilean-diagonalized spatio-temporal interest operators
2004 (English)In: Proc. 17th International Conference on Pattern Recognition (ICPR), 2004, 57-62 p.Conference paper (Refereed)
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.
, INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, ISSN 1051-4651
Computer Science Computer Vision and Robotics (Autonomous Systems)
IdentifiersURN: urn:nbn:se:kth:diva-40228DOI: 10.1109/ICPR.2004.1334004ISI: 000223874500014ScopusID: 2-s2.0-10044285777OAI: oai:DiVA.org:kth-40228DiVA: diva2:441205
17th International Conference on Pattern Recognition (ICPR)
QC 201109152013-04-192011-09-132013-04-19Bibliographically approved