Histograms of oriented optical flow and Binet-Cauchy kernels on nonlinear dynamical systems for the recognition of human actions

System theoretic approaches to action recognition model the dynamics of a scene with linear dynamical systems (LDSs) and perform classification using metrics on the space of LDSs, e.g. Binet-Cauchy kernels. However, such approaches are only applicable to time series data living in a Euclidean space,...

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Vydané v:	2009 IEEE Conference on Computer Vision and Pattern Recognition s. 1932 - 1939
Hlavní autori:	Chaudhry, Rizwan, Ravichandran, Avinash, Hager, Gregory, Vidal, Rene
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.06.2009
Predmet:	Data mining Feature extraction Histograms Humans Image motion analysis Kernel Layout Nonlinear dynamical systems Nonlinear optics Object recognition
ISBN:	1424439922, 9781424439928
ISSN:	1063-6919, 1063-6919
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