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NIPS
2007
13 years 6 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...
CVPR
2007
IEEE
14 years 6 months ago
Learning Motion Categories using both Semantic and Structural Information
Current approaches to motion category recognition typically focus on either full spatiotemporal volume analysis (holistic approach) or analysis of the content of spatiotemporal in...
Shu-Fai Wong, Tae-Kyun Kim, Roberto Cipolla
MICCAI
2004
Springer
14 years 5 months ago
Bone Motion Analysis from Dynamic MRI: Acquisition and Tracking
For diagnosis, preoperative planning and postoperative guides, an accurate estimate of joints kinematics is required. We bring together MRI developments and new image processing me...
Benjamin Gilles, Rosalind Perrin, Nadia Magnenat-T...
PAMI
2008
231views more  PAMI 2008»
13 years 4 months ago
Nonrigid Structure-from-Motion: Estimating Shape and Motion with Hierarchical Priors
This paper describes methods for recovering time-varying shape and motion of nonrigid 3D objects from uncalibrated 2D point tracks. For example, given a video recording of a talkin...
Lorenzo Torresani, Aaron Hertzmann, Christoph Breg...
FGR
2000
IEEE
128views Biometrics» more  FGR 2000»
13 years 9 months ago
Understanding Purposeful Human Motion
Human motion can be understood on many levels. The most basic level is the notion that humans are collections of things that have predictable visual appearance. Next is the notion...
Christopher Richard Wren, Brian P. Clarkson, Alex ...