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NIPS
2004
13 years 8 months ago
Joint Tracking of Pose, Expression, and Texture using Conditionally Gaussian Filters
We present a generative model and stochastic filtering algorithm for simultaneous tracking of 3D position and orientation, non-rigid motion, object texture, and background texture...
Tim K. Marks, John R. Hershey, J. Cooper Roddey, J...
PAMI
2010
238views more  PAMI 2010»
13 years 5 months ago
Tracking Motion, Deformation, and Texture Using Conditionally Gaussian Processes
—We present a generative model and inference algorithm for 3D nonrigid object tracking. The model, which we call G-flow, enables the joint inference of 3D position, orientation, ...
Tim K. Marks, John R. Hershey, Javier R. Movellan
ICCV
2005
IEEE
14 years 9 months ago
Simultaneous Facial Action Tracking and Expression Recognition Using a Particle Filter
The recognition of facial gestures and expressions in image sequences is an important and challenging problem. Most of the existing methods adopt the following paradigm. First, fa...
Fadi Dornaika, Franck Davoine
ICIP
2001
IEEE
14 years 9 months ago
Tracking of human activities using shape-encoded particle propagation
We present an approach to tracking human activities in a monocular video. We model the human body by decomposing it into torso and limbs and use simple 3D shapes to approximate th...
Hankyu Moon, Rama Chellappa, Azriel Rosenfeld
ICMCS
2009
IEEE
184views Multimedia» more  ICMCS 2009»
13 years 5 months ago
Structure and appearance features for robust 3D facial actions tracking
This paper presents a robust and accurate method for joint head pose and facial actions tracking, even under challenging conditions such as varying lighting, large head movements,...
Stéphanie Lefevre, Jean-Marc Odobez