Each page presents the results obtained by the statistical background modeling methods on the Wallflower Dataset.
Author: Thierry BOUWMANS, Associate Professor, Lab. MIA, Univ. 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.
Note: My publications are available on Academia, Research Gate, Researchr, ORCID and Publication List.