Features Selection

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.

H. Grabner, B. Horst, “On-line Boosting and Vision”, IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2006, 2006.

H. Grabner, P. Roth, M. Grabner, H. Bischof, “Autonomous Learning a Robust Background Model for Change Detection”, PETS 2006, 2006.

H. Grabner, C. Leistner, H. Bischof ,“Time dependent on-line boosting for robust background modeling” International Conference on Computer Vision Theory and Applications, VISAPP 2008, Funchal, Portugal, January 2008.

Y. Lee, J. Jung, I. Kweon, “Hierarchical on-line boosting based background subtraction”, Workshop on Frontiers of Computer Vision, FCV 2011, pages 1-5, February 2011.

A. Elgammal, T. Parag, A. Mittal, “A Framework for Feature Selection for Background Subtraction”, International Conference on Pattern Recognition, CVPR 2006, June 2006.

S. Javed, A. Sobral, T. Bouwmans, S. Jung, "OR-PCA with Dynamic Feature Selection for Robust Background Subtraction", ACM Symposium On Applied Computing, SAC 2015, April 2015.

M. Braham, M. Van Droogenbroeck, "A generic feature selection method for background subtraction using global foreground models", Advanced Concepts for Intelligent Vision Systems, ACIVS 2015, 2015.

C. Silva, T. Bouwmans, C. Frelicot, "Online Weighted One-Class Ensemble for Feature Selection in Background/Foreground Separation", International Conference on Pattern Recognition, ICPR 2016, December 2016.