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» 3D Human Body Modeling Using Range Data
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ECCV
2002
Springer
16 years 4 months ago
Implicit Probabilistic Models of Human Motion for Synthesis and Tracking
Abstract. This paper addresses the problem of probabilistically modeling 3D human motion for synthesis and tracking. Given the high dimensional nature of human motion, learning an ...
Hedvig Sidenbladh, Michael J. Black, Leonid Sigal
MVA
2007
193views Computer Vision» more  MVA 2007»
15 years 4 months ago
A Video Motion Capture System for Interactive Games
This paper presents a method for markerless human motion capture using a single camera. It uses tree-based filtering to efficiently propagate a probability distribution over pos...
Ryuzo Okada, Nobuhiro Kondoh, Björn Stenger
HUMO
2000
Springer
15 years 6 months ago
Specialized Mappings and the Estimation of Human Body Pose from a Single Image
We present an approach for recovering articulated body pose from single monocular images using the Specialized Mappings Architecture (SMA), a non-linear supervised learning archit...
Rómer Rosales, Stan Sclaroff
ICCV
2009
IEEE
16 years 8 months ago
Estimating Contact Dynamics
Motion and interaction with the environment are fundamentally intertwined. Few people-tracking algorithms exploit such interactions, and those that do assume that surface geomet...
Marcus A. Brubaker Leonid Sigal David J. Fleet
IVC
2002
143views more  IVC 2002»
15 years 2 months ago
Towards the automatic analysis of complex human body motions
The classification of human body motion is an integral component for the automatic interpretation of video sequences. In a first part we present an effective approach that uses mi...
Jens Rittscher, Andrew Blake, Stephen J. Roberts