Background modeling in video surveillance by using parallel computing

Authors

  • Yossra Hussain Ali Computer Science Department, University of Technology, Baghdad, Iraq
  • Mohammed Rajah Mohammed Computer Science Department, University of Technology, Baghdad, Iraq https://orcid.org/0000-0002-6683-752X

Keywords:

background subtraction, video surveillance, k-mean, multithread

Abstract

In the last years, the research of extraction the movable object from video sequence in application of computer vision become wide spread and well-known . in this paper the extraction of background model by using parallel computing is done by two steps : the first one using non-linear buffer to extraction frame from video sequence depending on the number of frame whether it is even or odd . the goal of this step is obtaining initial background when over half of training sequence contains foreground object . in the second step , The execution time of the traditional K-mean has been improved to obtain initial background through perform the k-mean by using parallel computing where the time has been minimized to 50% of the conventional time of k-mean .

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Published

2021-12-02

Issue

Section

Computer Science

How to Cite

Background modeling in video surveillance by using parallel computing. (2021). Iraqi Journal of Science, 58(3B), 1516-1522. https://ijs.uobaghdad.edu.iq/index.php/eijs/article/view/5830

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