Others Background Modeling

Multimodal Mean Adaptive Background Modeling

Multimodal Mean Adaptive Background Modeling (S. Apewokin - Electrical and Computer Engineering - Georgia Institute of Technology - USA)

S. Apewokin, B. Valentine, S. Wills, L. M. Wills,A. Gentile, Multimodal Mean Adaptive Backgrounding for Embedded Real-Time Video Surveillance, Proceedings of the Embedded Computer Vision Workshop, ECVW 2007 , Minneapolis, Minnesota, June 2007

Multitemporal Background Models

Multitemporal Background Models (N. Jacobs - Computer Science and Engineering - Washington University - USA)

N. Jacobs, R. Pless, “Real-time constant memory visual summaries for surveillance”, ACM International Workshop on Visual Surveillance and Sensory Networks, VSSN 2006, October 2006

Shape Background Modeling

Shape Background Modeling (N. Jacobs - Computer Science and Engineering - Washington University - USA)

N. Jacobs, R. Pless, “Shape background modeling: The shape of things that came”, IEEE Workshop on Motion and Video Computing, WMVC 2007, February 2007.

Multi-model Background Maintenance

Multi-model Background Maintenance (T. Tsai, National Central University, Taiwan)

T. Tsai, W. Sheu, C. Lin, "Foreground Object Detection Based on Multi-model Background Maintenance", IEEE International Symposium on Multimedia Workshops, ISMW 2007, pages 151-159, 2007.

Hierarchical Background Subtraction

Hierarchical Background Subtraction (O. Javed, K. Shafique, M. Shah - Computer Vision Laboratory - University of Central Florida - USA)

O. Javed , K. Shafique, M. Shah, "A Hierarchical Approach to Robust Background Subtraction using Color and Gradient Information", IEEE Workshop on Motion and Video Computing, WMVC 2002, Orlando, USA, December 2002.

Hierarchical Data Structure for Real-Time Background Subtraction

Hierarchical Data Structure for Real-Time Background Subtraction (J. Park, A. Tabb, Robot Vision Laboratory - Purdue University - USA)

J. Park, A. Tabb, and A. C. Kak, "Hierarchical Data Structure for Real-Time Background Subtraction" IEEE International Conference on Image Processing ICIP 2006, 2006.

Foreground-Adaptive Background Subtraction

Foreground-Adaptive Background Subtraction (M. McHugh - Boston University - USA)

J. McHugh, J. Konrad, V. Saligrama, P.. Jodoin, “Foreground-adaptive background subtraction,” IEEE Signal Processing Letters, 2008.

J. McHugh, “Probabilistic methods for adaptive background subtraction,” Master’s thesis, Boston University, January 2008.

Background Subtraction with FDR Control

Background Subtraction with FDR Control (M. McHugh - Boston University - USA)

J. McHugh, J. Konrad, V. Saligrama, P. Jodoin, D. Castanon, “Motion detection with false discovery rate control”, IEEE International Conference Image Processing, October 2008.

Semantic Background Subtraction

Semantic Background Subtraction (M. Braham, , M. Van Droogenbroeck, University of Liege, Belgium)

M. Braham, S. Pierard, M. Van Droogenbroeck, "Semantic Background Subtraction", IEEE International Conference on Image Processing,ICIP 2017, September 2017.