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» Multi-activity Tracking in LLE Body Pose Space
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ECCV
2006
Springer
14 years 7 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...
24
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CVPR
1996
IEEE
13 years 10 months ago
3-D model-based tracking of humans in action: a multi-view approach
We present a vision system for the 3-D modelbased tracking of unconstrained human movement. Using image sequences acquired simultaneously from multiple views, we recover the 3-D b...
Dariu Gavrila, Larry S. Davis
PRL
2008
198views more  PRL 2008»
13 years 5 months ago
Pose estimation and tracking using multivariate regression
This paper presents an extension of the relevance vector machine (RVM) algorithm to multivariate regression. This allows the application to the task of estimating the pose of an a...
Arasanathan Thayananthan, Ramanan Navaratnam, Bj&o...
ICRA
2007
IEEE
205views Robotics» more  ICRA 2007»
14 years 3 days 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
AMDO
2006
Springer
13 years 9 months ago
Acquisition of Articulated Human Body Models Using Multiple Cameras
Abstract. Motion capture is an important application in different areas such as biomechanics, computer animation, and human-computer interaction. Current motion capture methods typ...
Aravind Sundaresan, Rama Chellappa