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» Learning to track 3D human motion from silhouettes
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NIPS
2007
13 years 8 months ago
People Tracking with the Laplacian Eigenmaps Latent Variable Model
Reliably recovering 3D human pose from monocular video requires models that bias the estimates towards typical human poses and motions. We construct priors for people tracking usi...
Zhengdong Lu, Miguel Á. Carreira-Perpi&ntil...
IROS
2007
IEEE
171views Robotics» more  IROS 2007»
14 years 1 months ago
Learning full-body motions from monocular vision: dynamic imitation in a humanoid robot
— In an effort to ease the burden of programming motor commands for humanoid robots, a computer vision technique is developed for converting a monocular video sequence of human p...
Jeffrey B. Cole, David B. Grimes, Rajesh P. N. Rao
ECCV
2006
Springer
14 years 9 months ago
Multivariate Relevance Vector Machines for Tracking
This paper presents a learning based approach to tracking articulated human body motion from a single camera. In order to address the problem of pose ambiguity, a one-to-many mappi...
Arasanathan Thayananthan, Ramanan Navaratnam, Bj&o...
CVPR
2007
IEEE
14 years 9 months ago
Marker-less Deformable Mesh Tracking for Human Shape and Motion Capture
We present a novel algorithm to jointly capture the motion and the dynamic shape of humans from multiple video streams without using optical markers. Instead of relying on kinemat...
Edilson de Aguiar, Christian Theobalt, Carsten Sto...
ICRA
2007
IEEE
205views Robotics» more  ICRA 2007»
14 years 1 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