Big Data Oriented Novel Background Subtraction Algorithm for Urban Surveillance Systems

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 com...

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Main Authors: Ling Hu, Qiang Ni, Feng Yuan
Format: Article
Language:English
Published: Tsinghua University Press 2018-06-01
Series:Big Data Mining and Analytics
Subjects:
Online Access:https://www.sciopen.com/article/10.26599/BDMA.2018.9020013
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author Ling Hu
Qiang Ni
Feng Yuan
author_facet Ling Hu
Qiang Ni
Feng Yuan
author_sort Ling Hu
collection DOAJ
description 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.
format Article
id doaj-art-34d4aedc817c447d9ef754ab1e74263a
institution Kabale University
issn 2096-0654
language English
publishDate 2018-06-01
publisher Tsinghua University Press
record_format Article
series Big Data Mining and Analytics
spelling doaj-art-34d4aedc817c447d9ef754ab1e74263a2025-02-02T23:47:25ZengTsinghua University PressBig Data Mining and Analytics2096-06542018-06-011213714510.26599/BDMA.2018.9020013Big Data Oriented Novel Background Subtraction Algorithm for Urban Surveillance SystemsLing Hu0Qiang Ni1Feng Yuan2<institution>School of Computing and Communications, Lancaster University, InfoLab21</institution>, <city>Lancaster</city>, <postal-code>LA1 4WA</postal-code>.<institution>School of Computing and Communications, Lancaster University, InfoLab21</institution>, <city>Lancaster</city>, <postal-code>LA1 4WA</postal-code>.<institution>Chinese Academy of Sciences Smart City Software Co. Ltd.</institution>, <country>China</country> and also with <institution content-type="dept">Institute of Software Application Technology</institution>, <institution>Guangzhou & Chinese Academy of Sciences</institution>, <city>Guangzhou </city><postal-code>511458</postal-code>, <country>China</country>.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.https://www.sciopen.com/article/10.26599/BDMA.2018.9020013big databackground subtractionurban surveillance systems
spellingShingle Ling Hu
Qiang Ni
Feng Yuan
Big Data Oriented Novel Background Subtraction Algorithm for Urban Surveillance Systems
Big Data Mining and Analytics
big data
background subtraction
urban surveillance systems
title Big Data Oriented Novel Background Subtraction Algorithm for Urban Surveillance Systems
title_full Big Data Oriented Novel Background Subtraction Algorithm for Urban Surveillance Systems
title_fullStr Big Data Oriented Novel Background Subtraction Algorithm for Urban Surveillance Systems
title_full_unstemmed Big Data Oriented Novel Background Subtraction Algorithm for Urban Surveillance Systems
title_short Big Data Oriented Novel Background Subtraction Algorithm for Urban Surveillance Systems
title_sort big data oriented novel background subtraction algorithm for urban surveillance systems
topic big data
background subtraction
urban surveillance systems
url https://www.sciopen.com/article/10.26599/BDMA.2018.9020013
work_keys_str_mv AT linghu bigdataorientednovelbackgroundsubtractionalgorithmforurbansurveillancesystems
AT qiangni bigdataorientednovelbackgroundsubtractionalgorithmforurbansurveillancesystems
AT fengyuan bigdataorientednovelbackgroundsubtractionalgorithmforurbansurveillancesystems