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General Information
    • ISSN: 2010-3697
    • Frequency: Bimonthly
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: Engineering & Technology Digital Library, ProQuest, Crossref, Electronic Journals Library, DOAJ, Google Scholar, EI (INSPEC, IET).
    • E-mail ijmo@iacsitp.com
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2014Vol.4(5): 362-365 ISSN: 2010-3697
DOI: 10.7763/IJMO.2014.V4.402

Foreground Extraction from Dynamic Videos Based on Computational Verb Theory

Li Bin and Yang Tao
Abstract—In this paper, a new method of Gaussian Mixture Model algorithm is proposed due to the inspiration of knowledge-based on computer vision and model recognition which are based on computational verb theory. This algorithm takes the binary image profiles and contour shapes to fulfill the foreground extraction from dynamic videos. Experiments show that, with respect to the performance in the dynamic videos, our algorithm is better than the algorithms used widely in other experiments. It is more accurate and can easily follow the track of the moving objects in the videos.

Index Terms—Foreground extraction, GMM, connectivity analysis, computational verb theory.

The authors are with the Electronic Engineering, school of Information Science and Technology, Xiamen University, Fujian, 361001, China (e-mail: Lbbsmile@126.com).

[PDF]

Cite: Li Bin and Yang Tao, "Foreground Extraction from Dynamic Videos Based on Computational Verb Theory," International Journal of Modeling and Optimization vol. 4, no. 5, pp. 362-365, 2014.

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