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» Learning to track 3D human motion from silhouettes
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ICCV
2009
IEEE
13 years 5 months ago
Complex volume and pose tracking with probabilistic dynamical models and visual hull constraints
We propose a method for estimating the pose of a human body using its approximate 3D volume (visual hull) obtained in real time from synchronized videos. Our method can cope with ...
Norimichi Ukita, Michiro Hirai, Masatsugu Kidode
ICPR
2004
IEEE
14 years 8 months ago
Maximizing Validity in 2D Motion Analysis
Classifying and analyzing human motion from a video is relatively common in many areas. Since the motion is carried out in 3D space, the 2D projection provided by a video is somew...
Martin Eriksson, Stefan Carlsson
CVPR
2004
IEEE
14 years 9 months ago
Tracking Loose-Limbed People
We pose the problem of 3D human tracking as one of inference in a graphical model. Unlike traditional kinematic tree representations, our model of the body is a collection of loos...
Leonid Sigal, Sidharth Bhatia, Stefan Roth, Michae...
ISVC
2007
Springer
14 years 1 months ago
Gradient-Based Hand Tracking Using Silhouette Data
Optical motion capture can be classified as an inference problem: given the data produced by a set of cameras, the aim is to extract the hidden state, which in this case encodes t...
Paris Kaimakis, Joan Lasenby
CVPR
2010
IEEE
14 years 3 months ago
Tracking People Interacting with Objects
While the problem of tracking 3D human motion has been widely studied, most approaches have assumed that the person is isolated and not interacting with the environment. Environme...
Hedvig Kjellstrom, Michael Black, Danica Kragic