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» Learning to track 3D human motion from silhouettes
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ICCV
2001
IEEE
15 years 11 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
15 years 11 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...
89
Voted
VMV
2004
171views Visualization» more  VMV 2004»
14 years 11 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»
13 years 1 days 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
15 years 2 months 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, ...