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Background modeling in video surveillance by using parallel computing | ||
| Iraqi Journal of Science | ||
| Article 1, Volume 58, Issue 3, 2018, Pages 1516-1522 | ||
| Authors | ||
| Yossra Hussain Ali; Mohammed Rajah Mohammed | ||
| 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 . | ||
| Keywords | ||
| background subtraction; video surveillance; mean; multithread | ||
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