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» Learning to track 3D human motion from silhouettes
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MVA
2002
149views Computer Vision» more  MVA 2002»
13 years 7 months ago
3-Dimensional Tracking of Multiple Object Motions from Multi-view Images by Mixed-state CONDENSATION Algorithm
In this paper, we propose an efficient method for tracking multiple objects, which deals with occlusion situations in an image. We use Shape from silhouettes method to reconstruct...
Koichiro Deguchi, Koji Hamasaki, Taira Nakajima, T...
HUMO
2007
Springer
13 years 11 months ago
Articulated Object Registration Using Simulated Physical Force/Moment for 3D Human Motion Tracking
In this paper, we present a 3D registration algorithm based on simulated physical force/moment for articulated human motion tracking. Provided with sparsely reconstructed 3D human ...
Bingbing Ni, Stefan Winkler, Ashraf A. Kassim
CVPR
2009
IEEE
3130views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Motion Capture Using Joint Skeleton Tracking and Surface Estimation
This paper proposes a method for capturing the performance of a human or an animal from a multi-view video sequence. Given an articulated template model and silhouettes from a m...
Juergen Gall (BIWI, ETH Zurich), Carsten Stoll (Ma...
ECCV
2000
Springer
14 years 9 months ago
Stochastic Tracking of 3D Human Figures Using 2D Image Motion
A probabilistic method for tracking 3D articulated human figures in monocular image sequences is presented. Within a Bayesian framework, we define a generative model of image appea...
Hedvig Sidenbladh, Michael J. Black, David J. Flee...
ACCV
2006
Springer
13 years 11 months ago
Multi-camera Tracking of Articulated Human Motion Using Motion and Shape Cues
Abstract. We present a framework and algorithm for tracking articulated motion for humans. We use multiple calibrated cameras and an articulated human shape model. Tracking is perf...
Aravind Sundaresan, Rama Chellappa