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- W2006456421 abstract "In this study, a spatial-dependent background model for detecting objects is used in severe imaging conditions. It is robust in the cases of sudden illumination fluctuation and burst motion background. More importantly, it is quite sensitive under the cases of underexposure, low-illumination, and narrow dynamic range, all of which are very common phenomenon using a surveillance camera. The background model maintains statistical models in the form of multiple pixel pairs with few parameters. Experiments using several challenging datasets (Heavy Fog, PETS-2001, AIST-INDOOR, and a real surveillance application) confirm the robust performance in various imaging conditions." @default.
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- W2006456421 date "2014-01-02" @default.
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- W2006456421 title "Robust Object Detection in Severe Imaging Conditions using Co-Occurrence Background Model" @default.
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- W2006456421 doi "https://doi.org/10.1080/15599612.2014.890686" @default.
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