Foreground detection based on low-rank and block-sparse matrix decomposition

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2012, Pages 1225-1228

  Guyon, Charles ^a   Bouwmans, Thierry ^a   Zahzah, El Hadi ^a  

^a UNIVERSITÉ DE LA ROCHELLE   (France)

Author keywords

Foreground Detection; Robust Principal Component Analysis

Indexed keywords

BACKGROUND MODEL; BLOCK SPARSITIES; FOREGROUND DETECTION; FOREGROUND OBJECTS; LOW RANK; LOW RANKNESS; MATRIX DECOMPOSITION; MOVING OBJECTS; PRINCIPAL COMPONENTS ANALYSIS; RECENT RESEARCHES; ROBUST ANALYSIS; ROBUST PRINCIPAL COMPONENT ANALYSIS; VIDEO SURVEILLANCE SYSTEMS;

DETECTOR CIRCUITS; IMAGE PROCESSING; SECURITY SYSTEMS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 84875864128     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2012.6467087     Document Type: Conference Paper

References (12)

1. T. Bouwmans, "Recent advanced statistical background modeling for foreground detection: A systematic survey," RPCS, vol. 4, no. 3, pp. 147-176, Nov. 2011.
2. T. Bouwmans, F. El Baf, and B. Vachon, "Background modeling using mixture of gaussians for foreground detection - a survey," RPCS, vol. 1, no. 3, pp. 219-237, Nov. 2008.
3. T. Bouwmans, "Subspace learning for background modeling: A survey," RPCS, vol. 2, no. 3, pp. 223-234, Nov. 2009.
4. N. Oliver, B. Rosario, and A. Pentland, "A bayesian computer vision system for modeling human interactions," ICVS 1999, Jan. 1999.
5. E. Candes, X. Li, Y. Ma, and J. Wright, "Robust principal component analysis?," International Journal of ACM, vol. 58, no. 3, May 2011.
6. Z. Zhou, X. Li, J. Wright, E. Candes, and Y. Ma, "Stable principal component pursuit," IEEE ISIT Proceedings, pp. 1518-1522, Jun. 2010.
7. F. De La Torre and M. Black, "A framework for robust subspace learning," International Journal on Computer Vision, pp. 117-142, 2003.
8. G. Tang and A. Nehorai, "Robust principal component analysis based on low-rank and block-sparse matrix decomposition," CISS 2011, 2011.
9. Y. Sheikh and M. Shah, "Bayesian modeling of dynamic scenes for object detection," IEEE T-PAMI, vol. 27, pp. 1778-1792, 2005.
10. K. Toyama, J. Krumm, B. Brumitt, and B. Meyers, "Wallflower: Principles and practice of background maintenance," ICCV 1999, pp. 255-261, Sept. 1999.
11. L. Li, W. Huang, I. Gu, and Q. Tian, "Statistical modeling of complex backgrounds for foreground object detection," IEEE T-IP, pp. 1459-1472, 2004.
12. L. Maddalena and A. Petrosino, "A fuzzy spatial coherence-based approach to background foreground separation for moving object detection," Neural Computing and Applications, pp. 1-8, 2010.