Note: This list of publications comes from my research. Please cite my following paper:
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.
List of Publications on Background Modeling using SVDD for Foreground Detection
A. Tavakkoli, M. Nicolescu, G. Bebis, “A Novelty Detection Approach for Foreground Region Detection in Videos with Quasi-stationary Backgrounds”, International Symposium on Visual Computing , ISVC 2006, pages 40-49, Lake Tahoe, NV, November 2006.
A. Tavakkoli, A. Ambardekar, M. Nicolescu, S. Louis, “A Genetic Approach to Training Support Vector Dada Descriptors for Background Modeling in Video Data”, International Symposium on Visual Computing, Lake Tahoe, Nevada, November 2007.
A. Tavakkoli, M. Nicolescu, M. Nicolescu, G. Bebis, “Incremental SVDD Training: Improving Efficiency of Background Modeling in Videos”, Proceedings of the International Conference on Signal and Image Processing, Kailua-Kona, Hawaii, August 2008.
A. Tavakkoli, M. Nicolescu, M. Nicolescu, G. Bebis, “Efficient Background Modeling through Incremental Support Vector Data Description”, ICPR 2008, Tampa, Florida, December 2008.
A. Tavakkoli, M. Nicolescu, G. Bebis, M. Nicolescu, “A Support Vector Data Description Approach for Background Modeling in Videos with Quasi-Stationary Backgrounds”, International Journal of Artificial Intelligence Tools, Volume 17, Issue 4, pages 635-658, August 2008.
A. Tavakkoli, “Novelty Detection: An Approach to Foreground Detection in Videos”, Pattern Recognition, Chapter 7, INTECH 2010, 2010.