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MIRAGE
2009
Springer
15 years 4 months ago
Tracking Human Motion with Multiple Cameras Using an Articulated Model
This paper presents a markerless motion capture pipeline based on volumetric reconstruction, skeletonization and articulated ICP with hard constraints. The skeletonization produces...
Davide Moschini, Andrea Fusiello
CVPR
2010
IEEE
1182views Computer Vision» more  CVPR 2010»
15 years 5 months 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
13 years 9 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-...
ICRA
2007
IEEE
205views Robotics» more  ICRA 2007»
15 years 3 months ago
Marker-less Human Motion Estimation using Articulated Deformable Model
— This paper presents a novel whole body motion estimation method by fitting a deformable articulated model of the human body into the 3D reconstructed volume obtained from mult...
Koichi Ogawara, Xiaolu Li, Katsushi Ikeuchi
IJCV
2008
191views more  IJCV 2008»
14 years 9 months ago
Searching for Complex Human Activities with No Visual Examples
Abstract We describe a method of representing human activities that allows a collection of motions to be queried without examples, using a simple and effective query language. Our ...
Nazli Ikizler, David A. Forsyth