Big data oriented novel background subtraction algorithm for urban surveillance systems

Hu, Ling and Ni, Qiang and Yuan, Feng (2018) Big data oriented novel background subtraction algorithm for urban surveillance systems. Big Data Mining and Analytics, 1 (2). pp. 137-145. ISSN 2096-0654

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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.

Item Type:
Journal Article
Journal or Publication Title:
Big Data Mining and Analytics
Additional Information:
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ID Code:
125008
Deposited By:
Deposited On:
23 May 2018 07:44
Refereed?:
Yes
Published?:
Published
Last Modified:
22 Nov 2020 05:36