468 search results - page 29 / 94 » A Bayesian framework for Gaussian mixture background modelin... |
122
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TCSV
2008
15 years 11 days ago
2008
Abstract--Modeling background and segmenting moving objects are significant techniques for video surveillance and other video processing applications. Most existing methods of mode...
117
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ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
In this study, we investigate online Bayesian estimation of the measurement noise density of a given state space model using particle filters and Dirichlet process mixtures. Diri...
119
Voted
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
Semi-supervised learning (SSL), is classification where additional unlabeled data can be used to improve accuracy. Generative approaches are appealing in this situation, as a mode...
105
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ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
In this paper, we present a novel technique for modeling the posterior probability estimates obtained from a neural network directly in the HMM framework using the Dirichlet Mixtu...
104
Voted
TIP
2008
15 years 11 days ago
2008
Significant appearance changes of objects under different orientations could cause loss of tracking, "drifting." In this paper, we present a collaborative tracking framew...