Single General Gaussian (SGG)

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 Single General Gaussian for Foreground Detection

H. Kim, R. Sakamoto, I. Kitahara, T. Toriyama, K. Kogure, “Robust Foreground Extraction Technique Using Gaussian Family Model and Multiple Thresholds”, 8th Asian Conference on Computer Vision, ACCV2007, Tokyo, Japan, November 2007.

H. Kim, R. Sakamoto, I. Kitahara, T. Toriyama, K. Kogure, “Robust Silhouette Extraction Technique Using Background Subtraction”, 10^th Meeting on Image Recognition and Understand, MIRU 2007, Hiroshima, Japan, July 2007.

H. Kim, R. Sakamoto, I. Kitahara, T. Toriyama, K. Kogure, “Background Subtraction using Generalized Gaussian Family Model”, IET Electronics Letters, Volume 44, Issue 3, pages 189-190, January 2008.