Big Data Oriented Novel Background Subtraction Algorithm for Urban Surveillance Systems

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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Bibliographic Details
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:
big data
background subtraction
urban surveillance systems
Online Access:https://www.sciopen.com/article/10.26599/BDMA.2018.9020013

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