61 search results - page 2 / 13 » Discriminative estimation of 3D human pose using Gaussian pr... |
ICIP
2007
IEEE
14 years 7 months ago
2007
IEEE
Tracking 3D people from monocular video is often poorly constrained. To mitigate this problem, prior knowledge should be exploited. In this paper, the Gaussian process spatio-temp...
CVPR
2006
IEEE
14 years 7 months ago
2006
IEEE
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...
ICIP
2010
IEEE
13 years 3 months ago
2010
IEEE
In this paper, we present a markerless 3D motion capture system based on a volume reconstruction technique of non rigid bodies. It depicts a new approach for pose estimation in or...
AVSS
2006
IEEE
13 years 11 months ago
2006
IEEE
Extracting meaningful 3D human motion information from video sequences is of interest for applications like intelligent humancomputer interfaces, biometrics, video browsing and ind...
CVPR
2011
IEEE
13 years 19 days ago
2011
IEEE
Representing articulated objects as a graphical model has gained much popularity in recent years, often the root node of the graph describes the global position and orientation of...