Background model based on multiple information integration

The invention discloses a background subtraction implementation method and device. The method comprises the following steps: calculating the current observation mode of each pixel of the current input image by combining local spatial information with color information; comparing the current observat...

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Bibliographic Details
Main Author JIA HUIXING
Format Patent
LanguageChinese
English
Published 11.01.2012
Subjects
CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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Summary:The invention discloses a background subtraction implementation method and device. The method comprises the following steps: calculating the current observation mode of each pixel of the current input image by combining local spatial information with color information; comparing the current observation mode of each pixel with all modes in a background model, and finding out a background model mode which is closest to the current observation mode distance; if the current observation mode distance is less than the scheduled threshold, judging the closest background model mode as a background, otherwise judging the closest background model mode as a foreground; and updating the background model according to the judgment conditions of the foreground and the background. Aiming at the problems in the prior art, in the method provided by the invention, the pixel information is combined with space structure information to describe the observation mode of each pixel, and a hybrid Gaussian model frame is adopted to bui
Bibliography:Application Number: CN20111180848