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BMCBI
2006
118views more  BMCBI 2006»
13 years 7 months ago
Microarray image analysis: background estimation using quantile and morphological filters
Background: In a microarray experiment the difference in expression between genes on the same slide is up to 103 fold or more. At low expression, even a small error in the estimat...
Anders Bengtsson, Henrik Bengtsson
ACCV
2006
Springer
14 years 1 months ago
A Multiscale Co-linearity Statistic Based Approach to Robust Background Modeling
Background subtraction is an essential task in several static camera based computer vision systems. Background modeling is often challenged by spatio-temporal changes occurring due...
Prithwijit Guha, Dibyendu Palai, K. S. Venkatesh, ...
DAGM
2009
Springer
14 years 1 months ago
Localised Mixture Models in Region-Based Tracking
An important problem in many computer vision tasks is the separation of an object from its background. One common strategy is to estimate appearance models of the object and backgr...
Christian Schmaltz, Bodo Rosenhahn, Thomas Brox, J...
ICPR
2008
IEEE
14 years 1 months ago
Back to the future: Robust foreground extraction with reversed-time background modeling
“Ghosts” arise in traditional background subtraction when an object starts to move, causing the exposed background to be labelled as a ghost foreground. With background model ...
Akhilesh Kumar Sinha, Prithwijit Guha, Amitabha Mu...
ISVC
2005
Springer
14 years 24 days ago
Background Updating for Visual Surveillance
Scene changes such as moved objects, parked vehicles, or opened/closed doors need to be carefully handled so that interesting foreground targets can be detected along with the shor...
Kyungnam Kim, David Harwood, Larry S. Davis