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» Learning to track 3D human motion from silhouettes
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ICCV
2001
IEEE
14 years 9 months ago
3D Object Tracking Using Shape-Encoded Particle Propagation
We present a comprehensive treatment of 3D object tracking by posing it as a nonlinear state estimation problem. The measurements are derived using the outputs of shape-encoded fi...
Hankyu Moon, Rama Chellappa, Azriel Rosenfeld
ECCV
2008
Springer
14 years 9 months ago
Articulated Multi-body Tracking under Egomotion
In this paper, we address the problem of 3D articulated multi-person tracking in busy street scenes from a moving, human-level observer. In order to handle the complexity of multi-...
Stephan Gammeter, Andreas Ess, Tobias Jaeggli, Kon...
VMV
2004
171views Visualization» more  VMV 2004»
13 years 8 months ago
Cloth Motion from Optical Flow
This paper presents an algorithm for capturing the motion of deformable surfaces, in particular textured cloth. In a calibrated multi-camera setup, the optical flow between consec...
Volker Scholz, Marcus A. Magnor
TOG
2012
208views Communications» more  TOG 2012»
11 years 9 months ago
Video-based 3D motion capture through biped control
Marker-less motion capture is a challenging problem, particularly when only monocular video is available. We estimate human motion from monocular video by recovering three-dimensi...
Marek Vondrak, Leonid Sigal, Jessica K. Hodgins, O...
WACV
2002
IEEE
14 years 9 days ago
Development and Analysis of a Real-Time Human Motion Tracking System
This paper describes a method for tracking human body motion from multiple views in real-time. The method extracts silhouettes in each view using background subtraction, and then ...
Jason P. Luck, Christian Debrunner, William Hoff, ...