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CVPR
2008
IEEE
14 years 9 months ago
Physical simulation for probabilistic motion tracking
Human motion tracking is an important problem in computer vision. Most prior approaches have concentrated on efficient inference algorithms and prior motion models; however, few c...
Marek Vondrak, Leonid Sigal, Odest Chadwicke Jenki...
ICPR
2008
IEEE
14 years 8 months ago
Spatio-temporal 3D pose estimation and tracking of human body parts using the Shape Flow algorithm
In this contribution we introduce the Shape Flow algorithm (SF), a novel method for spatio-temporal 3D pose estimation of a 3D parametric curve. The SF is integrated into a tracki...
Markus Hahn, Lars Krüger, Christian Wöhl...
CVPR
2010
IEEE
14 years 3 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...
ICCV
2011
IEEE
12 years 7 months ago
3D Reconstruction of a Smooth Articulated Trajectory from a Monocular Image Sequence
An articulated trajectory is defined as a trajectory that remains at a fixed distance with respect to a parent trajectory. In this paper, we present a method to reconstruct an a...
Hyun Soo Park, Yaser Sheikh
MVA
2008
196views Computer Vision» more  MVA 2008»
13 years 7 months ago
Evaluation of an appearance-based 3D face tracker using dense 3D data
The ability to detect and track human heads and faces in video sequences can be considered as the finest level of any video surveillance system. In this paper, we introduce a gener...
Fadi Dornaika, Angel Domingo Sappa