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» Practical Super-Resolution from Dynamic Video Sequences
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ACCV
2007
Springer
14 years 1 months ago
Learning Generative Models for Monocular Body Pose Estimation
We consider the problem of monocular 3d body pose tracking from video sequences. This task is inherently ambiguous. We propose to learn a generative model of the relationship of bo...
Tobias Jaeggli, Esther Koller-Meier, Luc J. Van Go...
CVPR
2007
IEEE
14 years 9 months ago
Marker-less Deformable Mesh Tracking for Human Shape and Motion Capture
We present a novel algorithm to jointly capture the motion and the dynamic shape of humans from multiple video streams without using optical markers. Instead of relying on kinemat...
Edilson de Aguiar, Christian Theobalt, Carsten Sto...
FGR
2002
IEEE
197views Biometrics» more  FGR 2002»
14 years 16 days ago
Robust Full-Motion Recovery of Head by Dynamic Templates and Re-Registration Techniques
This paper presents a method to recover the full-motion (3 rotations and 3 translations) of the head from an input video using a cylindrical head model. Given an initial reference...
Jing Xiao, Takeo Kanade, Jeffrey F. Cohn
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. ...
ICIP
2007
IEEE
14 years 1 months ago
Locally Competitive Algorithms for Sparse Approximation
Practical sparse approximation algorithms (particularly greedy algorithms) suffer two significant drawbacks: they are difficult to implement in hardware, and they are inefficie...
Christopher J. Rozell, Don H. Johnson, Richard G. ...