Background model learning system for lighting change adaptation utilized for video surveillance
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United States of America Patent
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Jan 28, 2014
Grant Date -
May 3, 2012
app pub date -
Oct 28, 2010
filing date -
Oct 28, 2010
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Abstract
A background model learning system for lighting change adaptation for video surveillance is provided. The system includes a background model estimation unit that estimates a background model for a scene of interest; a foreground map construction unit that constructs a reference foreground map of the time instance; and a lighting change processing unit that revises the reference foreground map by reducing false foreground regions resulting from lighting changes. The revised foreground map is then sent back to both the background model estimation unit and the lighting change processing unit as feedbacks for model learning rate tuning in background model estimation and map integration in lighting change processing, respectively, for the next time instance.
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