On the role and the importance of features for background modeling and foreground detection-Reference-Cited by-同舟云学术

On the role and the importance of features for background modeling and foreground detection

Published:2018-05 Issue: Volume:28 Page:26-91
ISSN:1574-0137
Container-title:Computer Science Review
language:en
Short-container-title:Computer Science Review

Author:

Bouwmans Thierry,Silva Caroline,Marghes Cristina,Zitouni Mohammed Sami,Bhaskar Harish,Frelicot Carl

Publisher

Elsevier BV

Subject

General Computer Science,Theoretical Computer Science

Reference696 articles.

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3. F. El Baf, T. Bouwmans, B. Vachon, Comparison of background subtraction methods for a multimedia learning space, in :International Conference on Signal Processing and Multimedia, SIGMAP 2007, July 2007.

4. A. Vacavant, T. Chateau, A. Wilhelm, L. Lequievre, A benchmark dataset for foreground/background extraction, in: International Workshop on Background Models Challenge, ACCV 2012, November 2012.

5. Decomposition into low-rank plus additive matrices for background/foreground separation: A review for a comparative evaluation with a large-scale dataset;Bouwmans;Comput. Sci. Rev.,2016

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