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Big data oriented novel background subtraction algorithm for urban surveillance systems

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<mark>Journal publication date</mark>06/2018
<mark>Journal</mark>Big Data Mining and Analytics
Issue number2
Volume1
Number of pages9
Pages (from-to)137-145
Publication statusPublished
Early online date12/04/18
Original languageEnglish

Abstract

Due to the tremendous volume of data generated by urban surveillance systems, big data oriented low-complexity automatic background subtraction techniques are in great demand. In this paper, we propose a novel automatic background subtraction algorithm for urban surveillance systems in which the computer can automatically renew an image as the new background image when no object is detected. This method is both simple and robust with respect to changes in light conditions.

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©2018 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.