This part gives links to available traditionnal background modeling implementions.
Note: Feel free to contact me at background.subtraction@gmail.com to add other links.
Available Implementations
Traditional Background Modeling (18 implementations)
Basic Background Modeling (2 implementations)
Statistical Background Modeling (12 implementations)
Background Modeling via Clustering (2 implementations)
Neural Network Background Modeling (3 implementations)
Background Estimation (0)
Author: Thierry BOUWMANS, Associate Professor, Lab. MIA, Univ. Rochelle, France.
Fair Use Policy
As this website gives many information that come from my research, please cite my following survey papers:T. Bouwmans, “Traditional and Recent Approaches in Background Modeling for Foreground Detection: An Overview”, Computer Science Review, 2014. [pdf]
T. Bouwmans, E. Zahzah, “Robust PCA via Principal Component Pursuit: A Review for a Comparative Evaluation in Video Surveillance”, Special Issue on Background Models Challenge, Computer Vision and Image Understanding, CVIU 2014, Volume 122, pages 22–34, May 2014. [pdf]
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. [pdf]
Note: My publications are available on Academia, Research Gate, Researchr, Science Stage and Publication List.