Improved background modeling of video sequences using spatio-temporal extension of fuzzy local binary pattern-Reference-Cited by-同舟云学术

Improved background modeling of video sequences using spatio-temporal extension of fuzzy local binary pattern

Published:2019-01-05 Issue:12 Volume:78 Page:17287-17316
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Norouzi Sefidmazgi Akram,Nahvi Manoochehr^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/content/pdf/10.1007/s11042-018-6972-7.pdf

Reference61 articles.

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4. Bilodeau G-A, Jodoin J-P, Saunier N (2013) Change detection in feature space using local binary similarity patterns. Proc Int Conf Comput Robot Vision (CRV): 106–112

5. Bouwmans T, Porikli F, Horferlin B, Vacavant A (2014) Handbook on background modeling and foreground detection for video surveillance. CRC press, Taylor and Francis group

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