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» Human Attributes from 3D Pose Tracking
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GW
2009
Springer
226views Biometrics» more  GW 2009»
13 years 3 months ago
Statistical Gesture Models for 3D Motion Capture from a Library of Gestures with Variants
A challenge for 3D motion capture by monocular vision is 3D-2D projection ambiguities that may bring incorrect poses during tracking. In this paper, we propose improving 3D motion ...
Zhenbo Li, Patrick Horain, André-Marie Pez,...
CVPR
2006
IEEE
14 years 7 months ago
3D People Tracking with Gaussian Process Dynamical Models
We advocate the use of Gaussian Process Dynamical Models (GPDMs) for learning human pose and motion priors for 3D people tracking. A GPDM provides a lowdimensional embedding of hu...
Raquel Urtasun, David J. Fleet, Pascal Fua
IBPRIA
2005
Springer
13 years 11 months ago
A 3D Dynamic Model of Human Actions for Probabilistic Image Tracking
Abstract. In this paper we present a method suitable to be used for human tracking as a temporal prior in a particle filtering framework such as CONDENSATION [5]. This method is f...
Ignasi Rius, Daniel Rowe, Jordi Gonzàlez, F...
CVIU
2006
110views more  CVIU 2006»
13 years 5 months ago
Viewpoint invariant exemplar-based 3D human tracking
This paper proposes a clustered exemplar-based model for performing viewpoint invariant tracking of the 3D motion of a human subject from a single camera. Each exemplar is associa...
Eng-Jon Ong, Antonio S. Micilotta, Richard Bowden,...
ECCV
2000
Springer
14 years 7 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...