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NIPS
2007
15 years 16 days ago
People Tracking with the Laplacian Eigenmaps Latent Variable Model
Reliably recovering 3D human pose from monocular video requires models that bias the estimates towards typical human poses and motions. We construct priors for people tracking usi...
Zhengdong Lu, Miguel Á. Carreira-Perpi&ntil...
77
Voted
CVIU
2008
151views more  CVIU 2008»
14 years 11 months ago
Accurate and precise 2D-3D registration based on X-ray intensity
This paper addresses the problem of estimating the 3D rigid pose of an object from its digitized X-ray projection. We considered the cases of homogeneous (CAD models) and inhomoge...
Souha Aouadi, Laurent Sarry
ECCV
2000
Springer
16 years 1 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...
CVPR
2012
IEEE
13 years 1 months ago
Recognizing proxemics in personal photos
Proxemics is the study of how people interact. We present a computational formulation of visual proxemics by attempting to label each pair of people in an image with a subset of p...
Yi Yang, Simon Baker, Anitha Kannan, Deva Ramanan
ICMCS
2005
IEEE
194views Multimedia» more  ICMCS 2005»
15 years 4 months ago
An hardware architecture for 3D object tracking and motion estimation
We present a method to track and estimate the motion of a 3D object with a monocular image sequence. The problem is based on the state equations and is solved by a sequential Mont...
Patrick Lanvin, Jean-Charles Noyer, Mohammed Benje...