Standard Variance (1 paper)
B. Zhong, H. Yao, S. Liu, "Robust background modeling via standard variance feature", International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010, Volume 1182-1185, 2010.
Color co-occurrences (2 papers)
L. Li, W. Huang , I. Gu, Q. Tian, "Statistical Modeling of Complex Background for Foreground Object Detection", IEEE Transaction on Image Processing, Volume 13, No. 11, pages 1459-1472, November 2004.
A. Adam, I. Shimshoni, E. Rivlin, "Aggregated Dynamic Background Modeling", International Conference on Image Processing, ICIP 2006, 2006.
Entropy (3 papers)
Y. Ma, H. Zhang, "Detecting motion object by spatial-temporal entropy", "IEEE International Conference on Multimedia and Expo, ICME 2001, pages 265-268, 2001.
G. Jing, C. Siong, D. Rajan, "Foreground Motion Detection by Difference-Based Spatial Temporal Entropy Image", TENCON 2004, Volume 1, pages 379-382, November 2004.
M. Chang, Y. Cheng, "Motion Detection by using Entropy Image and Adaptive State-Labeling Technique", IEEE International Symposium on Circuits and Systems, ISCAS 2007, pages 3667-3670, 2007.
IISC (1 paper)
W. Kim, Y. Kim, "Background Subtraction Using Illumination-Invariant Structural Complexity", IEEE Signal Processing Letters, Volume 3, No. 4, pages 634-638, May 2016.
Normalized Cross Correlation (2 papers)
J. Pilet, C. Strecha, P. Fua, "Making Background Subtraction Robust to Sudden Illumination Changes", European Conference on Computer Vision, ECCV 2008,
October 2008.
J. Wang, Y. Yagi, "Efficient Background Subtraction under Abrupt Illumination Variations", Asian Conference on Computer Vision, ACCV 2012, November 2012.
Mino Vector (1 paper)
G. Zhang, Z. Yuan, Q. Tong, M. Zheng, J. Zhao,"A novel framework for background subtraction and foreground detection", Pattern Recognition, pages 28–38, 2018.