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» Tracking Articulated Body by Dynamic Markov Network
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CVPR
2005
IEEE
14 years 9 months ago
Learning Appearance Manifolds from Video
The appearance of dynamic scenes is often largely governed by a latent low-dimensional dynamic process. We show how to learn a mapping from video frames to this lowdimensional rep...
Ali Rahimi, Ben Recht, Trevor Darrell
ICPR
2008
IEEE
14 years 2 months ago
2D and 3D upper body tracking with one framework
We propose a Dynamic Bayesian Network (DBN) model for upper body tracking. We first construct a Bayesian Network (BN) to represent the human upper body structure and then incorpo...
Lei Zhang, Jixu Chen, Zhi Zeng, Qiang Ji
ICRA
2005
IEEE
146views Robotics» more  ICRA 2005»
14 years 1 months ago
Bandwidth Management for Distributed Control of Highly Articulated Robots
— An optimal bandwidth allocation policy for axis distributed control using networked control systems (NCS) is presented. First, the benefits of structuring highly articulated r...
Manel Velasco, Pau Martí, Manel Frigola
FGR
2008
IEEE
260views Biometrics» more  FGR 2008»
14 years 2 months ago
On the sustained tracking of human motion
In this paper, we propose an algorithm for sustained tracking of humans, where we combine frame-to-frame articulated motion estimation with a per-frame body detection algorithm. T...
Yaser Sheikh, Ankur Datta, Takeo Kanade
ICCV
2009
IEEE
15 years 18 days ago
Estimating Contact Dynamics
Motion and interaction with the environment are fundamentally intertwined. Few people-tracking algorithms exploit such interactions, and those that do assume that surface geomet...
Marcus A. Brubaker Leonid Sigal David J. Fleet