4007 search results - page 349 / 802 » Computation with imprecise probabilities |
239
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CVPR
2006
IEEE
16 years 9 months ago
2006
IEEE
We advocate the use of Gaussian Process Dynamical Models (GPDMs) for learning human pose and motion priors for 3D people tracking. A GPDM provides a lowdimensional embedding of hu...
174
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CVPR
2007
IEEE
16 years 9 months ago
2007
IEEE
In this paper, we introduce the semantic network model (SNM), a generalization of the hidden Markov model (HMM) that uses factorization of state transition probabilities to reduce...
183
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ICCV
2007
IEEE
16 years 9 months ago
2007
IEEE
Particle filters encode a time-evolving probability density by maintaining a random sample from it. Level sets represent closed curves as zero crossings of functions of two variab...
160
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ICCV
2005
IEEE
16 years 9 months ago
2005
IEEE
Classic methods for Bayesian inference effectively constrain search to lie within regions of significant probability of the temporal prior. This is efficient with an accurate dyna...
194
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ICCV
1998
IEEE
16 years 9 months ago
1998
IEEE
Existing object tracking algorithms generally use some form of local optimisation, assuming that an object's position and shape change smoothly over time. In some situations ...