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ECCV
2002
Springer
14 years 11 months ago
Implicit Probabilistic Models of Human Motion for Synthesis and Tracking
Abstract. This paper addresses the problem of probabilistically modeling 3D human motion for synthesis and tracking. Given the high dimensional nature of human motion, learning an ...
Hedvig Sidenbladh, Michael J. Black, Leonid Sigal
CVPR
2011
IEEE
13 years 4 months ago
Tracking 3D Human Pose with Large Root Node Uncertainty
Representing articulated objects as a graphical model has gained much popularity in recent years, often the root node of the graph describes the global position and orientation of...
Ben Daubney, Xianghua Xie
ECCV
2002
Springer
14 years 11 months ago
Tracking and Rendering Using Dynamic Textures on Geometric Structure from Motion
Estimating geometric structure from uncalibrated images accurately enough for high quality rendering is difficult. We present a method where only coarse geometric structure is trac...
Dana Cobzas, Martin Jägersand
ISMIR
2005
Springer
215views Music» more  ISMIR 2005»
14 years 2 months ago
Separation of Vocals from Polyphonic Audio Recordings
Source separation techniques like independent component analysis and the more recent non-negative matrix factorization are gaining widespread use for the monaural separation of in...
Shankar Vembu, Stephan Baumann
ICASSP
2009
IEEE
14 years 3 months ago
Multi-view tracking of articulated human motion in silhouette and pose manifolds
This paper presents a multi-view articulated human motion tracking framework using particle filter with manifold learning through Gaussian process latent variable model. The dime...
Feng Guo, Gang Qian