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» 3D People Tracking with Gaussian Process Dynamical Models
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ICRA
2010
IEEE
170views Robotics» more  ICRA 2010»
13 years 3 months ago
Dynamic 3D scene analysis for acquiring articulated scene models
— In this paper we present a new system for a mobile robot to generate an articulated scene model by analyzing complex dynamic 3D scenes. The system extracts essential knowledge ...
Agnes Swadzba, Niklas Beuter, Sven Wachsmuth, Fran...
CVPR
2005
IEEE
13 years 6 months ago
Monocular 3-D Tracking of the Golf Swing
We propose an approach to incorporating dynamic models into the human body tracking process that yields full 3– D reconstructions from monocular sequences. We formulate the trac...
Raquel Urtasun, David J. Fleet, Pascal Fua
PAMI
2010
238views more  PAMI 2010»
13 years 3 months ago
Tracking Motion, Deformation, and Texture Using Conditionally Gaussian Processes
—We present a generative model and inference algorithm for 3D nonrigid object tracking. The model, which we call G-flow, enables the joint inference of 3D position, orientation, ...
Tim K. Marks, John R. Hershey, Javier R. Movellan
BMVC
2000
13 years 6 months ago
A Hierarchical Model of Dynamics for Tracking People with a Single Video Camera
We propose a novel hierarchical model of human dynamics for view independent tracking of the human body in monocular video sequences. The model is trained using real data from a c...
I. A. Karaulova, Peter M. Hall, A. David Marshall
CVPR
2000
IEEE
14 years 6 months ago
Recovering Non-Rigid 3D Shape from Image Streams
This paper addresses the problem of recovering 3D non-rigid shape models from image sequences. For example, given a video recording of a talking person, we would like to estimate ...
Christoph Bregler, Aaron Hertzmann, Henning Bierma...