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CVPR
2006
IEEE
14 years 9 months ago
3D People Tracking with Gaussian Process Dynamical Models
We advocate the use of Gaussian Process Dynamical Models (GPDMs) for learning human pose and motion priors for 3D people tracking. A GPDM provides a lowdimensional embedding of hu...
Raquel Urtasun, David J. Fleet, Pascal Fua
ICPR
2006
IEEE
14 years 8 months ago
Real-Time 3D Articulated Pose Tracking using Particle Filters Interacting through Belief Propagation
This article proposes a new statistical model for fast 3D articulated body tracking, similar to the loose-limbed model, but where inter-frame coherence is taken into account by us...
Olivier Bernier
FGR
2008
IEEE
170views Biometrics» more  FGR 2008»
14 years 2 months ago
Using an adaptive VAR Model for motion prediction in 3D hand tracking
A robust VAR-based (vector autoregressive) model is introduced for motion prediction in 3D hand tracking. This dynamic VAR motion model is learned in an online manner. The kinemat...
Desmond Chik, Jochen Trumpf, Nicol N. Schraudolph
ICASSP
2008
IEEE
14 years 2 months ago
Simultaneous and fast 3D tracking of multiple faces in video by GPU-based stream processing
In this work, we implement a real-time visual tracker that targets the position and 3D pose of objects in video sequences, specifically faces. Using Stream Processors for perform...
Oscar Mateo Lozano, Kazuhiro Otsuka
ISMAR
2008
IEEE
14 years 2 months ago
3D fiducials for scalable AR visual tracking
A new vision and inertial pose estimation system was implemented for real-time handheld augmented reality (AR). A sparse set of 3D cone fiducials are utilized for scalable indoor...
John Martin Steinbis, William A. Hoff, Tyrone L. V...