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Optical Engineering

Moving objects segmentation based on piecewise constant Mumford-Shah model solving by additive operator splitting
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Paper Abstract

We propose a moving objects segmentation method for color image sequences based on the piecewise constant Mumford-Shah model (also known as the C-V model) solving by the semi-implicit additive operator splitting (AOS) scheme, which is unconditionally stable, fast, and easy to implement. The method first uses the Gaussian mixture model for background modeling and then subtracts the background to obtain the moving regions that are the handling objects of our method. As a result of the introduction of the AOS scheme, we could use a rather large time step and still maintain the stability of the evolution process. Additionally, the method can easily be parallelized because the AOS scheme decomposes the equations into a sequence of one-dimensional (1-D) systems. The experimental results demonstrate that under real moving objects video tests, the AOS scheme accelerates the evolution of the curve and significantly reduces the number of iterations, and also demonstrates the validity of our method.

Paper Details

Date Published: 1 March 2010
PDF: 7 pages
Opt. Eng. 49(3) 037004 doi: 10.1117/1.3363833
Published in: Optical Engineering Volume 49, Issue 3
Show Author Affiliations
Dengwei Wang, Huazhong Univ. of Science and Technology (China)
Tianxu Zhang, Huazhong Univ. of Science and Technology (China)
Wenjun Shi, Navy Aeronautical and Astronautical Univ. (China)
Zhonghua Wang, Huazhong Univ. of Science and Technology (China)
Xiaoyu Yang, Huazhong Univ. of Science and Technology (China)
Longsheng Wei, Huazhong Univ. of Science and Technology (China)

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