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» Robust moving object detection under complex background
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MP
2006
101views more  MP 2006»
13 years 7 months ago
Robust optimization of contaminant sensor placement for community water systems
We present a series of related robust optimization models for placing sensors in municipal water networks to detect contaminants that are maliciously or accidentally injected. We f...
Robert D. Carr, Harvey J. Greenberg, William E. Ha...
BMCBI
2007
101views more  BMCBI 2007»
13 years 7 months ago
Robust detection and verification of linear relationships to generate metabolic networks using estimates of technical errors
Background: The size and magnitude of the metabolome, the ratio between individual metabolites and the response of metabolic networks is controlled by multiple cellular factors. A...
Frank Kose, Jan Budczies, Matthias Holschneider, O...
ICCV
2001
IEEE
14 years 9 months ago
Learning Image Statistics for Bayesian Tracking
This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...
Hedvig Sidenbladh, Michael J. Black
ICIP
2008
IEEE
14 years 2 months ago
Motion detection with an unstable camera
Fast and accurate motion detection in the presence of camera jitter is known to be a difficult problem. Existing statistical methods often produce abundant false positives since ...
Pierre-Marc Jodoin, Janusz Konrad, Venkatesh Salig...
ICASSP
2011
IEEE
12 years 11 months ago
A general Bayesian algorithm for visual object tracking based on sparse features
This paper describes a Bayesian algorithm for rigid/non-rigid 2D visual object tracking based on sparse image features. The algorithm is inspired by the way human visual cortex se...
Mauricio Soto Alvarez, Carlo S. Regazzoni