[1]LI Qing-wu,CAI Yan-mei,XU Li-zhong.Background update algorithm based on blocks classification forintelligent video surveillance[J].CAAI Transactions on Intelligent Systems,2010,5(3):272-276.
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Background update algorithm based on blocks classification forintelligent video surveillance

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 5 Number of periods: 2010 3 Page number: 272-276 Column: 学术论文—机器感知与模式识别 Public date: 2010-06-25
Title:
Background update algorithm based on blocks classification forintelligent video surveillance
Author(s):
LI Qing-wu;  CAI Yan-mei;  XU Li-zhong
College of Computer and Information Engineering, Hohai University, Changzhou 213022, China
Keywords:
image processing;  intelligent video surveillance;  background subtraction;  blocks classification;  background update
CLC:
TP391.4；TN991.73
DOI:
-
Abstract:
Background update algorithms have excessive calculation overhead and are sensitive to changes in lighting. In order to solve these problems, a background update algorithm based on block classification was proposed. First, image differences were obtained by subtracting the incoming frame from the reference image. Then the image differences were divided into blocks of equal size. Each block was then classified as a background block or a foreground block according to the blocks’ predominant features. Different updating strategies were then employed according to the classification of the block. In this way, realtime background updates were possible. This algorithm overcame problems of computational redundancy arising in other pixelbackground models. Execution speed was improved because objectoperations were performed on every block. Experimental results showed that this method well adapts to changes in illumination. 
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