Background subtraction in real applications: Challenges, current models and future directions-Reference-Cited by-同舟云学术

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Background subtraction in real applications: Challenges, current models and future directions

Published:2020-02 Issue: Volume:35 Page:100204
ISSN:1574-0137
Container-title:Computer Science Review
language:en
Short-container-title:Computer Science Review

Author:

Garcia-Garcia Belmar,Bouwmans Thierry,Rosales Silva Alberto Jorge

Funder

Consejo Nacional de Ciencia y Tecnología

Publisher

Elsevier BV

Subject

General Computer Science,Theoretical Computer Science

Reference485 articles.

1. A review on traffic monitoring system techniques;Jain;Soft Comput.: Theories Appl.,2018

2. Adaptive background mixture models for real-time tracking;Stauffer,1999

3. GMM Background modeling using divergence-based weight updating;Pulgarin-Giraldo,2016

4. BMOG: Boosted Gaussian mixture model with controlled complexity;Martins,2017

5. Improved background subtraction method for detecting moving objects based on GMM;Lu;IEEJ Trans. Electr. Electron. Eng.,2018

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