1 |
S. Rowe, A. Blake, Statistical background modelling for tracking with a virtual camera, in: British Machine Vision Conference, Birmingham, UK, 1995, pp.423-432.
|
2 |
M. Bertalmio, G. Sapiro, V. Caselles, and C. Ballester. Image Inpainting, In Proceedings SIGGRAPH 2000, Computer Graphics Proceedings. Annual Conference Series, edited by Kurt Akeley, pp.417-424, Reading, MA:Addison-Wesley, 2000.
DOI
|
3 |
K. Fukunaga, L. Hostetler, The estimation of the gradient of a density function,with applications in pattern recognition, IEEE Transactions on Information Theory 21 (1975) 32-40.
DOI
|
4 |
Yazhou Liu, Hongxun Yao, Wen Gao, Xilin Chen, Debin Zhao, Nonparametric Background Generation, Pattern Recognition, 2006. ICPR 2006. 18th International Conference on Volume 4, 0-0 0 Page(s):916-919.
DOI
|
5 |
C. R. Wren, A. Azarbayejani, T. Darrell, A. P. Pentland, Pfinder: Real-time tracking of the human body, IEEE Transactions on Pattern Analysis and Machine Intelligence 19(7) (1998) 780-785.
DOI
ScienceOn
|
6 |
K. Toyama, J. Krumm, B. Brumitt, B. Meyers., Wallflower: Principles and pratice of background maitenance, in: IEEE International Conference on Coputer Vision, Corfu, Greece, 1999, pp.255-261.
|
7 |
I. Haritaoglu, D. Harwoodand, L. S. Davis, W4: real-time surveillance of people and their activities, IEEE Transactions on Pattern Analysis and Machine Intelligence 22 (8) (2000) 809-830.
DOI
ScienceOn
|
8 |
Junxian Wang, George Bebis and Ronald Miller, “Robust Video-Based Surveillance by Integrating Target Detection with Tracking,” CVPR, 2006.
DOI
|
9 |
D. Comaniciu, P. Meer, Mean shift: a robust approach toward feature space analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence 24(5) (2002) 603-619.
DOI
ScienceOn
|
10 |
C. Stauffer, W. Grimson, Adaptive background mixture models for real-time tracking, in: IEEE Conference on Computer Vision and Pattern Recognition, Fort Collins, USA, 1999, pp.246-252.
|
11 |
C. Stauffer, W. E. L. Grimson, Learning patterns of activity using real-time tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence 22(8) (2000) 747-757.
DOI
ScienceOn
|
12 |
A. Telea, “An image inpainting technique based on the fast marching method,” J. Graphics Tools, Vol.9, No.1, pp.25-36, 2004.
|
13 |
A. Elgammal, D. Harwood, L. Davis, Non-parametric model for background subtraction, in: European Conference on Computer Vision, Dublin, Ireland, 2000, pp.751-767.
|
14 |
M.Bertalmio, A.L. Bertozzi, and G. Sapiro. Navier-Stokes, Fluid Dynamics, and Image and Video Inpainting, In Proc, ICCV 2001, pp. 1335-1362, IEEE CS Press 1. [CITY]:[PUB], 2001.
DOI
|
15 |
J. A. Sethian. Level Set Methods and Fast Marching Methods, Second edition. Cambridge, UK: Cambridge Univ. Press, 1999.
|