84 search results - page 8 / 17 » Improved Gaussian Mixture Models for Adaptive Foreground Seg... |
179
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ICPR
2010
IEEE
15 years 3 months ago
2010
IEEE
The expectation maximization (EM) algorithm is widely used in the Gaussian mixture model (GMM) as the state-of-art statistical modeling technique. Like the classical EM method, th...
208
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CAIP
2007
Springer
15 years 12 months ago
2007
Springer
— Background subtraction is a method commonly used to segment objects of interest in image sequences. By comparing new frames to a background model, regions of interest can be fo...
340
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Publication
The detection of bad weather conditions is crucial for meteorological centers, specially with demand for air, sea and ground traffic management. In this article, a system based on ...
174
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CCECE
2006
IEEE
15 years 12 months ago
2006
IEEE
This paper compares the performance of classification and regression trees (CART), multivariate adaptive regression splines (MARS), and a Gaussian mixture regressor (GMR) method ...
146
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MICCAI
2000
Springer
15 years 9 months 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...