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» Recognizing Human Actions Using Key Poses
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CVPR
2008
IEEE
15 years 11 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
14 years 7 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
ACCV
2006
Springer
15 years 3 months ago
A Local Basis Representation for Estimating Human Pose from Cluttered Images
Recovering the pose of a person from single images is a challenging problem. This paper discusses a bottom-up approach that uses local image features to estimate human upper body p...
Ankur Agarwal, Bill Triggs
CVPR
2010
IEEE
15 years 6 months ago
Dynamical Binary Latent Variable Models for 3D Human Pose Tracking
We introduce a new class of probabilistic latent variable model called the Implicit Mixture of Conditional Restricted Boltzmann Machines (imCRBM) for use in human pose tracking. K...
Graham Taylor, Leonid Sigal, David Fleet, Geoffrey...
CVPR
2010
IEEE
15 years 6 months ago
Spike Train Driven Dynamical Models for Human Actions
We investigate dynamical models of human motion that can support both synthesis and analysis tasks. Unlike coarser discriminative models that work well when action classes are ...
Michalis Raptis, Kamil Wnuk , Stefano Soatto