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CVPR
2011
IEEE
12 years 11 months ago
Real-time Human Pose Recognition in Parts from Single Depth Images
We propose a new method to quickly and accurately predict 3D positions of body joints from a single depth image, using no temporal information. We take an object recognition appro...
Jamie Shotton, Andrew Fitzgibbon, Mat Cook, Andrew...
CVPR
2010
IEEE
1182views Computer Vision» more  CVPR 2010»
14 years 21 days ago
Real Time Motion Capture using a Single Time-Of-Flight Camera
Markerless tracking of human pose is a hard yet relevant problem. In this paper, we derive an efficient filtering algorithm for tracking human pose at 4-10 frames per second using...
Varun Ganapathi, Christian Plagemann, Sebastian Th...
ICCV
2011
IEEE
12 years 4 months ago
A Data-Driven Approach for Real-Time Full Body Pose Reconstruction from a Depth Camera
In recent years, depth cameras have become a widely available sensor type that captures depth images at realtime frame rates. Even though recent approaches have shown that 3D pose...
Andreas Baak, Meinard Muller, Gaurav Bharaj, Hans-...
AMDO
2008
Springer
13 years 6 months ago
Real-Time 3D Body Pose Tracking from Multiple 2D Images
We present a human body motion tracking system for an interactive virtual simulation training environment. This system captures images using IR illumination and near-IR cameras to ...
Chi-Wei Chu, Ramakant Nevatia
ECCV
2006
Springer
14 years 6 months ago
Real-Time Upper Body Detection and 3D Pose Estimation in Monoscopic Images
This paper presents a novel solution to the difficult task of both detecting and estimating the 3D pose of humans in monoscopic images. The approach consists of two parts. Firstly ...
Antonio S. Micilotta, Eng-Jon Ong, Richard Bowden