Big data oriented novel background subtraction algorithm for urban surveillance systems

Ling Hu; Qiang Ni; Feng Yuan

doi:10.26599/BDMA.2018.9020013

Big data oriented novel background subtraction algorithm for urban surveillance systems

Ling Hu
, Qiang Ni
, Feng Yuan

Research output: Contribution to Journal/Magazine › Journal article › peer-review

7 Citations (Scopus)

908 Downloads (Pure)

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.

Original language	English
Pages (from-to)	137-145
Number of pages	9
Journal	Big Data Mining and Analytics
Volume	1
Issue number	2
Early online date	12/04/2018
DOIs	https://doi.org/10.26599/BDMA.2018.9020013
Publication status	Published - 06/2018

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10.26599/BDMA.2018.9020013

BigData_paper
©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.
Accepted author manuscript, 959 KBLicence: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

http://ieeexplore.ieee.org/document/8336849/

Smart ICT Technology Research for Smart City: Big Video Data Analytics Research
Ni, Q. (Principal Investigator)
1/02/15 → …
Project: Other

Cite this

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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.",

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AU - Yuan, Feng

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PY - 2018/6

Y1 - 2018/6

N2 - 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.

AB - 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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Big data oriented novel background subtraction algorithm for urban surveillance systems

Abstract

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Projects

Smart ICT Technology Research for Smart City: Big Video Data Analytics Research

Cite this