1 |
K. Kim, T.H.Chalidabhongse, D. Harwood, L. Davis, "Real-time foreground-background segmentation using codebook model." Real-Time Imaging Vol.11, pp.172-185, 2005.
DOI
ScienceOn
|
2 |
M. Shah, J. Deng, B. Woodford, "Enhanced Codebook Model for Real-Time Background Subtraction, Neural Information Processing," International Conference on Neural Information Processing, pp. 449-458, 2011.
|
3 |
M. Wu, X. Peng, "Spatio-temporal context for codebook-based dynamic background subtraction." International Journal of Electronics and Communications, Vol.64, No.8, pp.739-747, 2010.
DOI
ScienceOn
|
4 |
J.M. Guo, Y.F. Liu, C.H. Hsia, "Hierarchical method for foreground detection using codebook model," IEEE Transactions on Circuits and Systems for Video Technology, Vol.21, No.6, pp.804-815, 2011.
DOI
ScienceOn
|
5 |
S. Quan, T. Zhixing, H. Songchen, "Hierarchical codebook for background subtraction in MRF," Infrared Physics & Technology Vol.61, pp.259-264, 2013.
DOI
ScienceOn
|
6 |
http://pets2009.net
|
7 |
Mittal A, Paragios N. "Motion-based background su btraction using adaptive kernel density estimation." Proceedings of IEEE Conference on CVPR, Vol.2, pp.302-309, 2004.
|
8 |
Sheikh Y, Shah M. "Bayesian modeling of dynamic scenes for objects detection." IEEE Trans. on PAM I. Vol.27, pp.1778-1792, 2005.
DOI
ScienceOn
|
9 |
Stauffer C, Grimson WEL. "Adaptive background mi xture models for real-time tracking." Proceedings of IEEE Conference on CVPR, pp. 246-252. 1999.
|
10 |
Dalley G, Migdal J, Grimson WEL. "Background sub traction for temporally irregular dynamic textures." IEEE Workshop on Applications of Computer Vision, pp.1-7. 2008.
|
11 |
X. Zhang, F. Liu, Z. Li. "An improved foreground object detection method based on Gaussian mixture models," IEEE International Conference on Multimedia Communications, pp. 90-93, 2010.
|
12 |
J. Kim, K. Lee, T. Hwang, "Illumination influence minimization method for efficient object extraction," Journal of Digital Contents Society, Vol.14, No.1, pp. 117-124, 2013.
DOI
ScienceOn
|