Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/25537
Title: Efficient human action recognition by luminance field trajectory and geometry information
Authors: Zheng, H
Li, Z
Fu, Y
Keywords: Curve-distance approach
Machine learning
Video event recognition
Issue Date: 2009
Publisher: IEEE
Source: IEEE International Conference on Multimedia and Expo, 2009 : ICME 2009, June 28 2009-July 3 2009, New York, NY, p. 842-845 How to cite?
Abstract: In recent years the video event understanding is an active research topic, with many applications in surveillance, security, and multimedia search and mining. In this paper we focus on the human action recognition problem and propose a new Curve-Distance approach based on the geometry modeling of video appearance manifold and the human action time series statistics on the geometry information. Experimental results on the KTH database demonstrate the solution to be effective and promising.
URI: http://hdl.handle.net/10397/25537
ISBN: 978-1-4244-4290-4
978-1-4244-1291-1 (E-ISBN)
ISSN: 1945-7871
DOI: 10.1109/ICME.2009.5202626
Appears in Collections:Conference Paper

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