Robust online video background reconstruction using optical flow and pixel intensity distribution

Cai, Xiaodong, Ali, F H and Stipidis, E (2008) Robust online video background reconstruction using optical flow and pixel intensity distribution. In: IEEE International Conference on Communications (ICC 2008), Beijing, China.

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Obtaining a dynamically updated background reference image is an important and challenging task for video applications using background subtraction. This paper proposes a novel algorithm for online video background reconstruction. Firstly, multiple candidates of background values at each pixel are obtained by locating subintervals of stable intensity in a processing period. Then criteria based on pixel intensity distribution and local optical flows are employed to decide the most likely candidate to represent the background. For the methods utilizing the distributions of intensity values, the decision of determining the background value at a pixel position is based on the observation that the appearance time and sub-period frequency of the background is higher than non-background. An enhanced method using neighborhood optical flow information is adopted for more precise decision with slightly additional computation by identifying the events of covering and revealing of a pixel position. The experimental results show that the proposed algorithm outperforms existing adaptive mixture Gaussian background model and provides robust, efficient background image reconstruction in complex and busy environment.

Item Type: Conference or Workshop Item (Paper)
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Depositing User: Xiaodong Cai
Date Deposited: 06 Feb 2012 19:46
Last Modified: 11 Apr 2012 12:21
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