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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Hlavní autoři:	Ling Hu, Qiang Ni, Feng Yuan
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Tsinghua University Press 2018-06-01
Edice:	Big Data Mining and Analytics
Témata:	big data background subtraction urban surveillance systems
On-line přístup:	https://www.sciopen.com/article/10.26599/BDMA.2018.9020013
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