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CVPR
2010
IEEE
14 years 2 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...
FGR
2011
IEEE
271views Biometrics» more  FGR 2011»
12 years 9 months ago
Robust 3D hand tracking for human computer interaction
Abstract— We propose a system for human computer interaction via 3D hand movements, based on a combination of visual tracking and a cheap, off-the-shelf, accelerometer. We use a ...
Victor Adrian Prisacariu, Ian Reid
FGR
2000
IEEE
128views Biometrics» more  FGR 2000»
13 years 10 months ago
Understanding Purposeful Human Motion
Human motion can be understood on many levels. The most basic level is the notion that humans are collections of things that have predictable visual appearance. Next is the notion...
Christopher Richard Wren, Brian P. Clarkson, Alex ...
NIPS
2007
13 years 7 months 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...
AMDO
2000
Springer
13 years 9 months ago
Matching a Human Walking Sequence with a VRML Synthetic Model
- In this paper we present a specific matching technique based on basic motor patterns between two image sequences taken from different view points and a VRML synthetic human model...
Jose Maria Buades Rubio, Ramon Mas, Francisco J. P...