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» Recognizing human actions using multiple features
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CVPR
2008
IEEE
14 years 9 months ago
Action MACH a spatio-temporal Maximum Average Correlation Height filter for action recognition
In this paper we introduce a template-based method for recognizing human actions called Action MACH. Our approach is based on a Maximum Average Correlation Height (MACH) filter. A...
Mikel D. Rodriguez, Javed Ahmed, Mubarak Shah
ICPR
2010
IEEE
13 years 5 months ago
Hierarchical Human Action Recognition by Normalized-Polar Histogram
This paper proposes a novel human action recognition approach which represents each video sequence by a cumulative skeletonized images (called CSI) in one action cycle. Normalized-...
Maryam Ziaeefard, Hossein Ebrahimnezhad
CVPR
2009
IEEE
1962views Computer Vision» more  CVPR 2009»
15 years 1 months ago
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, ...
Rizwan Chaudhry, Avinash Ravichandran, Gregory D. ...
ICCV
2009
IEEE
15 years 11 days ago
Spatio-Temporal Relationship Match: Video Structure Comparison for Recognition of Complex Human Activities
Human activity recognition is a challenging task, especially when its background is unknown or changing, and when scale or illumination differs in each video. Approaches utilizi...
M. S. Ryoo1; J. K. Aggarwal
HCI
2009
13 years 5 months ago
Partially Observable Markov Decision Process (POMDP) Technologies for Sign Language Based Human-Computer Interaction
Sign language (SL) recognition modules in human-computer interaction systems need to be both fast and reliable. In cases where multiple sets of features are extracted from the SL d...
Sylvie C. W. Ong, David Hsu, Wee Sun Lee, Hanna Ku...