DocumentCode :
2128426
Title :
A practical updating background method in moving target detection
Author :
Song, Junfang ; Huang, Cao ; Xue, Ru
Author_Institution :
Sch. of Inf. Eng., Tibet Nat. Inst., Xianyang, China
fYear :
2012
fDate :
21-23 April 2012
Firstpage :
2322
Lastpage :
2324
Abstract :
Background subtraction is a powerful mechanism typically for segmenting moving regions in image sequences taken from a data acquisition system. It compares each new image to a model of the scene background image. In this paper, we present a novel method for the reconstruction of background image in background subtraction. This method firstly calculates the difference of two neighboring images, then deals with this result to determine whether the background image needs to be updated and finally reconstructs the background image by a simple weight formula. The experiment result shows that the proposed method could update background image quickly and timely in the scene of traffic flow monitoring. Using this method we can get a more accurate background, which is conducive to the segmentation of the target.
Keywords :
data acquisition; image reconstruction; image segmentation; image sequences; object detection; background image reconstruction; background subtraction; data acquisition system; image sequence; moving region segmentation; moving target detection; practical updating background method; scene background image model; simple weight formula; target segmentation; traffic flow monitoring; Adaptation models; Computational modeling; Computer vision; Image reconstruction; Image segmentation; Monitoring; Signal processing algorithms; background image updating; background subtraction; moving target detection; traffic flow monitoring;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4577-1414-6
Type :
conf
DOI :
10.1109/CECNet.2012.6202050
Filename :
6202050
Link To Document :
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