468 search results - page 4 / 94 » A Bayesian framework for Gaussian mixture background modelin... |
128
Voted
ICPR
2008
IEEE
16 years 4 months ago
2008
IEEE
We present a simple but efficient model for object segmentation in video scenes that integrates motion and color information in a joint probabilistic framework. Optical flow is mo...
155
Voted
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
Modern approaches to speaker recognition (verification) operate in a space of “supervectors” created via concatenation of the mean vectors of a Gaussian mixture model (GMM) a...
169
Voted
CAIP
2007
Springer
15 years 10 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...
170
Voted
TCSV
2011
14 years 10 months ago
2011
This paper proposes a background subtraction method for Bayer-pattern image sequences. The proposed method models the background in a Bayer-pattern domain using a mixture of Gauss...
136
Voted
ICIP
2006
IEEE
16 years 5 months ago
2006
IEEE
This paper seeks to increase the efficiency of background subtraction algorithms for motion detection. Our method uses a quadtree-base hierarchical framework that samples a small ...