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» Probabilistic human pose recovery from 2D images
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ICIP
2010
IEEE
13 years 3 months ago
Probabilistic human pose recovery from 2D images
Image based human pose recovery has many applications in different industries such as games, entertainment, physiological rehabilitation and biometrics. This paper presents a new ...
Farid Flitti, Mohammed Bennamoun, Du Q. Huynh, Rob...
AMDO
2008
Springer
13 years 7 months ago
Body-Part Templates for Recovery of 2D Human Poses under Occlusion
Detection of humans and estimation of their 2D poses from a single image are challenging tasks. This is especially true when part of the observation is occluded. However, given a l...
Ronald Poppe, Mannes Poel
ICCV
2005
IEEE
14 years 7 months ago
Beyond Trees: Common-Factor Models for 2D Human Pose Recovery
Tree structured models have been widely used for determining the pose of a human body, from either 2D or 3D data. While such models can effectively represent the kinematic constra...
Xiangyang Lan, Daniel P. Huttenlocher
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...
CVPR
2005
IEEE
14 years 7 months ago
Learning to Estimate Human Pose with Data Driven Belief Propagation
We propose a statistical formulation for 2-D human pose estimation from single images. The human body configuration is modeled by a Markov network and the estimation problem is to...
Gang Hua, Ming-Hsuan Yang, Ying Wu