A QR decomposition based mixture model algorithm for background modeling

This paper presents a new algorithm for background modeling in a sequence of images, even if there are foreground objects in each frame. We develop a QR decomposition based algorithm to remove foreground pixels from the image and then we construct the background model using mixture of Gaussian algor...

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Bibliographic Details
Main Authors: Amintoosi, M., Farbiz, F., Fathy, M.
Format: Conference Proceeding
Language:English
Subjects:
Distributed computing
Gaussian distribution
Image processing
Image segmentation
Layout
Linear algebra
Mathematical model
Mathematics
Matrix decomposition
Object detection
Pixel
Roads
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Summary:This paper presents a new algorithm for background modeling in a sequence of images, even if there are foreground objects in each frame. We develop a QR decomposition based algorithm to remove foreground pixels from the image and then we construct the background model using mixture of Gaussian algorithm, MoG. We split the image into small blocks and construct the background blocks using R-values taken from QR decomposition which indicate the degree of significance of the decomposed parts. The simulation results show the better performance of the proposed algorithm in compare with conventional methods on modeling static background images.
DOI:10.1109/ICICS.2007.4449610