12 search results - page 2 / 3 » Multivariate Relevance Vector Machines for Tracking |
ICASSP
2009
IEEE
14 years 12 days ago
2009
IEEE
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...
ICCV
2003
IEEE
14 years 7 months ago
2003
IEEE
This paper addresses the problem of applying powerful pattern recognition algorithms based on kernels to efficient visual tracking. Recently Avidan [1] has shown that object recog...
ICIP
2007
IEEE
14 years 7 months ago
2007
IEEE
This paper introduces a framework to track 3D human movement using Gaussian process dynamic model (GPDM) and particle filter. The framework combines the particle filter and discri...
CIKM
2004
Springer
13 years 9 months ago
2004
Springer
In this paper we study the problem of collecting training samples for building enterprise taxonomies. We develop a computer-aided tool named InfoAnalyzer, which can effectively as...
PAMI
2006
13 years 5 months ago
2006
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pri...