468 search results - page 21 / 94 » A Bayesian framework for Gaussian mixture background modelin... |
ICPR
2002
IEEE
14 years 9 months ago
2002
IEEE
bstraction of Wildlife Footage using Gaussian Mixture Models and the Minimum Description Length Criterion David Gibson Neill Campbell Barry Thomas Department of Computer Science Un...
JAIR
1998
13 years 8 months ago
1998
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
ICASSP
2011
IEEE
13 years 5 days ago
2011
IEEE
Background subtraction is commonly used to detect foreground objects in video surveillance. Traditional background subtraction methods are usually based on the assumption that the...
ICASSP
2011
IEEE
13 years 4 days ago
2011
IEEE
Recently, Multiple Background Models (M-BMs) [1, 2] have been shown to be useful in speaker verification, where the M-BMs are formed based on different Vocal Tract Lengths (VTLs)...
MICCAI
2000
Springer
14 years 12 hour ago
2000
Springer
This paper presents a statistical approach to aggregating speed and phase (directional) information for vascular segmentation in phase contrast magnetic resonance angiograms (PC-MR...