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ECCV
2000
Springer
14 years 9 months ago
Stochastic Tracking of 3D Human Figures Using 2D Image Motion
A probabilistic method for tracking 3D articulated human figures in monocular image sequences is presented. Within a Bayesian framework, we define a generative model of image appea...
Hedvig Sidenbladh, Michael J. Black, David J. Flee...
SIAMMA
2010
105views more  SIAMMA 2010»
13 years 2 months ago
On the Convergence of the Ohta-Kawasaki Equation to Motion by Nonlocal Mullins-Sekerka Law
In this paper, we establish the convergence of the Ohta-Kawasaki equation to motion by nonlocal Mullins-Sekerka law on any smooth domain in space dimensions N 3. These equations a...
Nam Q. Le
SUTC
2006
IEEE
14 years 1 months ago
Detecting the Direction of Motion in a Binary Sensor Network
We examine the problem of detecting the direction of motion in a binary sensor network; in such a network each sensor’s value is supplied reliably in a single bit of information...
Panagiotis Karras, Nikos Mamoulis
ECCV
2010
Springer
13 years 11 months ago
Exploring Ambiguities for Monocular Non-Rigid Shape Estimation
Recovering the 3D shape of deformable surfaces from single images is difficult because many different shapes have very similar projections. This is commonly addressed by restricti...
FGR
2000
IEEE
230views Biometrics» more  FGR 2000»
14 years 1 days ago
A Robust Model-Based Approach for 3D Head Tracking in Video Sequences
We present a generic and robust method for model-based global 3D head pose estimation in monocular and non-calibrated video sequences. The proposed method relies on a 3D/2D matchi...
Marius Malciu, Françoise J. Prêteux