468 search results - page 29 / 94 » A Bayesian framework for Gaussian mixture background modelin... |
TCSV
2008
13 years 8 months 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...
ICASSP
2011
IEEE
13 years 5 days 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...
ICML
2009
IEEE
14 years 9 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...
ICASSP
2011
IEEE
13 years 5 days 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...
TIP
2008
13 years 8 months 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...