Review of background subtraction methods using Gaussian mixture model for video surveillance systems-Reference-Cited by-同舟云学术

Review of background subtraction methods using Gaussian mixture model for video surveillance systems

Published:2017-01-30 Issue:2 Volume:50 Page:241-259
ISSN:0269-2821
Container-title:Artificial Intelligence Review
language:en
Short-container-title:Artif Intell Rev

Author:

Goyal Kalpana,Singhai Jyoti

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Link

http://link.springer.com/article/10.1007/s10462-017-9542-x/fulltext.html

Reference33 articles.

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3. Bouwmans T (2014) Traditional and recent approaches in background modeling for foreground detection: an overview. Comput Sci Rev 11–12:31–66

4. Bouwmans T, Baf FE (2010) Statistical background modeling for foreground detection: a survey. Handbook of Pattern Recognition and Computer pp 181–199

5. Bouwmans T, Baf FE, Vachon B (2008) Background modeling using mixture of Gaussians for foreground detection a survey. In: Recent patents on computer science, pp 219–237

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