BMOG: boosted Gaussian Mixture Model with controlled complexity for background subtraction-Reference-Cited by-同舟云学术

BMOG: boosted Gaussian Mixture Model with controlled complexity for background subtraction

Published:2018-04-02 Issue:3 Volume:21 Page:641-654
ISSN:1433-7541
Container-title:Pattern Analysis and Applications
language:en
Short-container-title:Pattern Anal Applic

Author:

Martins Isabel^ORCID,Carvalho Pedro,Corte-Real Luís,Alba-Castro José Luis

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition

Link

http://link.springer.com/article/10.1007/s10044-018-0699-y/fulltext.html

Reference39 articles.

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3. Benezeth Y, Jodoin PM, Emile B, Laurent H, Rosenberger C (2010) Comparative study of background subtraction algorithms. J Electr Imaging 19(3):033,003–033,003–12 . https://doi.org/10.1117/1.3456695

4. Bouwmans T (2011) Recent advanced statistical background modeling for foreground detection: a systematic survey. Recent Pat Comput Sci 4(3):147–176

5. Bouwmans T (2014) Traditional and recent approaches in background modeling for foreground detection: an overview. Comput Sci Rev 11:31–66. https://doi.org/10.1016/j.cosrev.2014.04.001

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