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Velocity adaptation of space-time interest points
KTH, Superseded Departments, Numerical Analysis and Computer Science, NADA.
KTH, Superseded Departments, Numerical Analysis and Computer Science, NADA.ORCID iD: 0000-0002-9081-2170
2004 (English)In: Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004 / [ed] Kittler, J; Petrou, M; Nixon, M, IEEE conference proceedings, 2004, 52-56 p.Conference paper, Published paper (Refereed)
Abstract [en]

The notion of local features in space-time has recently been proposed to capture and describe local events in video. When computing space-time descriptors, however, the result may strongly depend on the relative motion between the object and the camera. To compensate for this variation, we present a method that automatically adapts the features to the local velocity of the image pattern and, hence, results in a video representation that is stable with respect to different amounts of camera motion. Experimentally we show that the use of velocity adaptation substantially increases the repeatability of interest points as well as the stability of their associated descriptors. Moreover for an application to human action recognition we demonstrate how velocity adapted features enable recognition of human actions in situations with unknown camera motion and complex, nonstationary backgrounds.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2004. 52-56 p.
Series
INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, ISSN 1051-4651
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-44309DOI: 10.1109/ICPR.2004.1334003ISI: 000223874500013Scopus ID: 2-s2.0-10044244668ISBN: 0-7695-2128-2 (print)OAI: oai:DiVA.org:kth-44309DiVA: diva2:451230
Conference
17th International Conference on Pattern Recognition (ICPR) Location: British Machine Vis Assoc, Cambridge, ENGLAND Date: AUG 23-26, 2004
Note

QC 20111025

Available from: 2013-04-22 Created: 2011-10-20 Last updated: 2013-04-22Bibliographically approved

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