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ICCV
2005
IEEE
14 years 7 months ago
Integration of Conditionally Dependent Object Features for Robust Figure/Background Segmentation
We propose a new technique for fusing multiple cues to robustly segment an object from its background in video sequences that suffer from abrupt changes of both illumination and p...
Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...
CVIU
2007
121views more  CVIU 2007»
13 years 5 months ago
Background estimation under rapid gain change in thermal imagery
We consider detection of moving ground vehicles in airborne sequences recorded by a thermal sensor with automatic gain control, using an approach that integrates dense optic flow...
Hulya Yalcin, Robert T. Collins, Martial Hebert
CVPR
2006
IEEE
14 years 7 months ago
Shape Guided Object Segmentation
We construct a Bayesian model that integrates topdown with bottom-up criteria, capitalizing on their relative merits to obtain figure-ground segmentation that is shape-specific an...
Eran Borenstein, Jitendra Malik
CAIP
2007
Springer
217views Image Analysis» more  CAIP 2007»
13 years 11 months ago
Mixture Models Based Background Subtraction for Video Surveillance Applications
— 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...
Chris Poppe, Gaëtan Martens, Peter Lambert, R...
ICIAP
2007
ACM
14 years 5 months ago
A Framework for False Positive Suppression in Video Segmentation
Object detection in video surveillance is typically done through background subtraction or temporal differencing. While these techniques perform very well under scenes where there...
Min Han Tun, Geoff A. W. West, Tele Tan