87 search results - page 5 / 18 » 3D People Tracking with Gaussian Process Dynamical Models |
ICIP
2005
IEEE
16 years 2 months ago
2005
IEEE
Tracking multiple people in a dynamic environment is important in many applications. Recent research in this area has focused either on geometric analysis or appearance models. In...
ICASSP
2009
IEEE
15 years 7 months ago
2009
IEEE
This paper presents a multi-view approach to the tracking of people location and orientation. To achieve efficient and accurate likelihood evaluation, a novel likelihood computat...
107
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NIPS
2004
15 years 1 months ago
2004
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...
172
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MLMI
2007
Springer
15 years 6 months ago
2007
Springer
We describe a method for recovering 3D human body pose from silhouettes. Our model is based on learning a latent space using the Gaussian Process Latent Variable Model (GP-LVM) [1]...
125
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ICCV
2007
IEEE
16 years 2 months ago
2007
IEEE
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...