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ICASSP
2011
IEEE
12 years 11 months ago
Hierarchical Latent Dirichlet Allocation models for realistic action recognition
It has always been very difficult to recognize realistic actions from unconstrained videos because there are tremendous variations from camera motion, background clutter, object a...
Heping Li, Jie Liu, Shuwu Zhang
NIPS
2004
13 years 8 months ago
A Three Tiered Approach for Articulated Object Action Modeling and Recognition
Visual action recognition is an important problem in computer vision. In this paper, we propose a new method to probabilistically model and recognize actions of articulated object...
Le Lu, Gregory D. Hager, Laurent Younes
ICCV
2011
IEEE
12 years 7 months ago
Dynamic Manifold Warping for View Invariant Action Recognition
We address the problem of learning view-invariant 3D models of human motion from motion capture data, in order to recognize human actions from a monocular video sequence with arbi...
Dian Gong, Gerard Medioni
KI
2009
Springer
14 years 1 months ago
A Manifold Representation as Common Basis for Action Production and Recognition
In this paper, we first review our work in the domain of dextrous manipulation, where we introduced Manipulation Manifolds – a highly structured manifold representation of hand ...
Jan Steffen, Michael Pardowitz, Helge Ritter
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. ...