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» Tracking Articulated Body by Dynamic Markov Network
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ICCV
2003
IEEE
14 years 6 months ago
Tracking Articulated Body by Dynamic Markov Network
A new method for visual tracking of articulated objects is presented. Analyzing articulated motion is challenging because the dimensionality increase potentially demands tremendou...
Ying Wu, Gang Hua, Ting Yu
ICCV
2007
IEEE
14 years 7 months ago
Real-time Body Tracking Using a Gaussian Process Latent Variable Model
In this paper, we present a tracking framework for capturing articulated human motions in real-time, without the need for attaching markers onto the subject's body. This is a...
Shaobo Hou, Aphrodite Galata, Fabrice Caillette, N...
AMDO
2008
Springer
13 years 7 months ago
2D Articulated Body Tracking with Self-occultations Handling
Recently many methods for human articulated body tracking were proposed in the literature. These techniques are often computationally intensive and cannot be used for Human-Compute...
Eric Para, Olivier Bernier, Catherine Achard
CVPR
2007
IEEE
14 years 7 months ago
Tracking-as-Recognition for Articulated Full-Body Human Motion Analysis
This paper addresses the problem of markerless tracking of a human in full 3D with a high-dimensional (29D) body model. Most work in this area has been focused on achieving accura...
Patrick Peursum, Svetha Venkatesh, Geoff A. W. Wes...
WACV
2005
IEEE
13 years 10 months ago
Combining View-Based and Model-Based Tracking of Articulated Human Movements
Many existing systems for human body tracking are based on dynamic model-based tracking that is driven by local image features. Alternatively, within a view-based approach, tracki...
Cristóbal Curio, Martin A. Giese