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» Dynamic Models of Human Motion
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CVPR
2010
IEEE
14 years 4 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...
ICANN
2005
Springer
14 years 1 months ago
Learning Features of Intermediate Complexity for the Recognition of Biological Motion
Humans can recognize biological motion from strongly impoverished stimuli, like point-light displays. Although the neural mechanism underlying this robust perceptual process have n...
Rodrigo Sigala, Thomas Serre, Tomaso Poggio, Marti...
CORR
2010
Springer
141views Education» more  CORR 2010»
13 years 5 months ago
Modeling Dynamical Influence in Human Interaction Patterns
We present a new way for modeling 1) social influence and 2) the well-observed property of social influence
Wei Pan, Manuel Cebrián, Wen Dong, Taemie K...
ICIP
2002
IEEE
14 years 19 days ago
Panoramic capturing and recognition of human activity
This paper presents a unified approach to human activity capturing and recognition. It targets applications such as a speaker walking, turning around, sitting and getting up from ...
Xinding Sun, B. S. Manjunath