D. Frejlichowski, P. Forczma´nskiforczma´nski, A. Nowosielski, K. Go´sciewskago´sciewska, and R. Hofman, SmartMonitor: An Approach to Simple, Intelligent and Affordable Visual Surveillance System, ICCVG 2012, pp.726-734
DOI : 10.1007/978-3-642-33564-8_87

P. Forczma´nskiforczma´nski, D. Frejlichowski, A. Nowosielski, and R. Hofman, Current trends in developing of intelligent visual monitoring systems (in Polish), Methods of Applied Computer Science, vol.4, issue.29, pp.19-32, 2011.

D. Frejlichowski, K. Go´sciewskago´sciewska, P. Forczma´nskiforczma´nski, A. Nowosielski, and R. Hofman, SmartMonitor: recent progress in the development of an innovative visual surveillance system, Journal of Theoretical and Applied Computer Science, vol.6, issue.3, pp.28-35, 2012.

T. Horprasert, D. Harwood, and L. S. Davis, A robust background subtraction and shadow detection, Proceedings of the Asian Conference on Computer Vision, 2000.

D. Frejlichowski, Automatic localisation of moving vehicles in image sequences using morphological operations, 2008 1st International Conference on Information Technology, pp.439-442, 2008.
DOI : 10.1109/INFTECH.2008.4621677

W. Wang, D. Chen, W. Gao, and J. Yang, Modeling Background from Compressed Video, IEEE Transactions on Circuits and Systems for Video Technology, vol.5, pp.670-681, 2008.

M. Piccardi, Background subtraction techniques: a review, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583), pp.3099-3104, 2005.
DOI : 10.1109/ICSMC.2004.1400815

Z. Zivkovic, Improved adaptive Gaussian mixture model for background subtraction, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., pp.28-31, 2004.
DOI : 10.1109/ICPR.2004.1333992
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1.4658

C. Stauffer and W. E. Grimson, Adaptive background mixture models for real-time tracking, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149), pp.2-252, 1999.
DOI : 10.1109/CVPR.1999.784637

S. C. Sen-ching and C. Kamath, Robust Techniques for Background Subtraction in Urban Traffic Video, Visual Communications and Image Processing, pp.881-892, 2004.

O. Javed, K. Shafique, and M. Shah, A hierarchical approach to robust background subtraction using color and gradient information, Workshop on Motion and Video Computing, 2002. Proceedings., pp.22-27, 2002.
DOI : 10.1109/MOTION.2002.1182209

P. Kaewtrakulpong and R. Bowden, An Improved Adaptive Background Mixture Model for Real-time Tracking with Shadow Detection, Proceedings of the 2nd European Workshop on Advanced Video Based Surveillance Systems, Computer Vision and Distributed Processing, 2001.
DOI : 10.1007/978-1-4615-0913-4_11

P. Forczma´nskiforczma´nski and M. Seweryn, Surveillance Video Stream Analysis Using Adaptive Background Model and Object Recognition, Part I. LNCS, pp.114-121, 2010.