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» Nonlinear Mean Shift for Robust Pose Estimation
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WACV
2008
IEEE
15 years 4 months ago
Robust Human Pose Recognition Using Unlabelled Markers
In this paper, we tackle robust human pose recognition using unlabelled markers obtained from an optical marker-based motion capture system. A coarse-to-fine fast pose matching al...
Yi Wang, Gang Qian
103
Voted
PAMI
2006
358views more  PAMI 2006»
14 years 9 months ago
Recovering 3D Human Pose from Monocular Images
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pri...
Ankur Agarwal, Bill Triggs
82
Voted
PR
2007
293views more  PR 2007»
14 years 9 months ago
Mean shift-based clustering
In this paper, a mean shift-based clustering algorithm is proposed. The mean shift is a kernel-type weighted mean procedure. Herein, we first discuss three classes of Gaussian, C...
Kuo-Lung Wu, Miin-Shen Yang
ICRA
2006
IEEE
109views Robotics» more  ICRA 2006»
15 years 3 months ago
Robust Statistics for 3D Object Tracking
Abstract— This paper focuses on methods that enhance performance of a model based 3D object tracking system. Three statistical methods and an improved edge detector are discussed...
Peter Preisig, Danica Kragic
94
Voted
ICIP
2008
IEEE
15 years 11 months ago
Hybrid tracking approach using optical flow and pose estimation
This paper proposes an hybrid approach to estimate the 3D pose of an object. The integration of texture information based on image intensities in a more classical non-linear edge-...
Éric Marchand, Étienne Mémin,...