Background Subtraction

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    Background Subtraction

    Background subtraction is used in different applications to detect the moving objects in the scene like in video surveillance, optical motion capture and multimedia. 

    Background subtraction presents the following steps:
    • Background modeling
    • Background initialization
    • Background maintenance
    • Foreground detection

    Background subtraction presents the following  issues:

    • Choice of the feature size: pixel, a block or a cluster
    • Choice of the feature type :color features, edge features, stereo features, motion features and texture features.
    Author: T. BOUWMANS, Laboratoire MIA, Université de La Rochelle, France.

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    As this website gives many information that come from my research, please cite at least my following survey papers:
     
    T. Bouwmans, “Background Subtraction For Visual Surveillance: A Fuzzy Approach”, Handbook on Soft Computing for Video Surveillance, Taylor and Francis Group, Chapter 5, March 2012.

    T. Bouwmans, F. El Baf, B. Vachon, “Statistical Background Modeling for Foreground Detection: A Survey”, Handbook of Pattern Recognition and Computer Vision, World Scientific Publishing, Volume 4, Part 2, Chapter 3, pages 181-199, January 2010.

    T. Bouwmans, "Recent Advanced Statistical Background Modeling for Foreground Detection: A Systematic Survey",     Recent Patents on Computer Science, Volume 4, No. 3, pages147-176, September 2011.

    T. Bouwmans, "Subspace Learning for Background Modeling - A Survey", Recent Patents on Computer Science, Recent Patents on Computer Science, Volume 2, No 3, pages 223-234, November 2009.

    T. Bouwmans, F. El Baf, B. Vachon, “Background Modeling using Mixture of Gaussians for Foreground Detection - A Survey”, Recent Patents on Computer Science, Volume 1, No 3, pages 219-237, November 2008.
     
    My publications are available on Academia, Research Gate, Science Stage and Publication List.