-
1
-
-
79957497122
-
ViBe: A universal background subtraction algorithm for video sequences
-
O. Barnich and M. Van Droogenbroeck. ViBe: A universal background subtraction algorithm for video sequences. IEEE Trans. Image Process., 20(6):1709-1724, 2011.
-
(2011)
IEEE Trans. Image Process.
, vol.20
, Issue.6
, pp. 1709-1724
-
-
Barnich, O.1
Van Droogenbroeck, M.2
-
2
-
-
84883353199
-
Change detection in feature space using local binary similarity patterns
-
G.-A. Bilodeau, J.-P. Jodoin, and N. Saunier. Change detection in feature space using local binary similarity patterns. In Int. Conf. Comput. Robot Vis., pages 106-112, 2013.
-
(2013)
Int. Conf. Comput. Robot Vis.
, pp. 106-112
-
-
Bilodeau, G.-A.1
Jodoin, J.-P.2
Saunier, N.3
-
4
-
-
80053995832
-
Complementary background models for the detection of static and moving objects in crowded environments
-
Aug
-
R. Evangelio and T. Sikora. Complementary background models for the detection of static and moving objects in crowded environments. In Proc. IEEE Int. Conf. Advanced Video and Signal Based Surveillance, pages 71-76, Aug 2011.
-
(2011)
Proc. IEEE Int. Conf. Advanced Video and Signal Based Surveillance
, pp. 71-76
-
-
Evangelio, R.1
Sikora, T.2
-
5
-
-
84865036551
-
Changedetection.net: A new change detection benchmark dataset
-
N. Goyette, P.-M. Jodoin, F. Porikli, J. Konrad, and P. Ishwar. Changedetection.net: A new change detection benchmark dataset. In Proc. IEEE Conf. Comput. Vis. Pattern Recognit. Workshops, pages 1-8, 2012.
-
(2012)
Proc. IEEE Conf. Comput. Vis. Pattern Recognit. Workshops
, pp. 1-8
-
-
Goyette, N.1
Jodoin, P.-M.2
Porikli, F.3
Konrad, J.4
Ishwar, P.5
-
6
-
-
84897524670
-
Background subtraction with dirichlet process mixture models
-
April
-
T. Haines and T. Xiang. Background subtraction with dirichlet process mixture models. IEEE Trans. Pattern Anal. Mach. Intell., 36(4):670-683, April 2014.
-
(2014)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.36
, Issue.4
, pp. 670-683
-
-
Haines, T.1
Xiang, T.2
-
7
-
-
33144466752
-
A texture-based method for modeling the background and detecting moving objects
-
M. Heikkila and M. Pietikainen. A texture-based method for modeling the background and detecting moving objects. IEEE Trans. Pattern Anal. Mach. Intell., 28(4):657-662, 2006.
-
(2006)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.28
, Issue.4
, pp. 657-662
-
-
Heikkila, M.1
Pietikainen, M.2
-
9
-
-
21644463503
-
Real-time foreground-background segmentation using codebook model
-
June
-
K. Kim, T. H. Chalidabhongse, D. Harwood, and L. Davis. Real-time foreground-background segmentation using codebook model. Real-Time Imaging, 11(3):172-185, June 2005.
-
(2005)
Real-Time Imaging
, vol.11
, Issue.3
, pp. 172-185
-
-
Kim, K.1
Chalidabhongse, T.H.2
Harwood, D.3
Davis, L.4
-
10
-
-
77956001016
-
Modeling pixel process with scale invariant local patterns for background subtraction in complex scenes
-
S. Liao, G. Zhao, V. Kellokumpu, M. Pietikainen, and S. Li. Modeling pixel process with scale invariant local patterns for background subtraction in complex scenes. In Proc. IEEE Conf. Comput. Vis. Pattern Recognit., pages 1301-1306, 2010.
-
(2010)
Proc. IEEE Conf. Comput. Vis. Pattern Recognit.
, pp. 1301-1306
-
-
Liao, S.1
Zhao, G.2
Kellokumpu, V.3
Pietikainen, M.4
Li, S.5
-
11
-
-
45949086871
-
A self-organizing approach to background subtraction for visual surveillance applications
-
July
-
L. Maddalena and A. Petrosino. A self-organizing approach to background subtraction for visual surveillance applications. IEEE Trans. Image Process., 17(7):1168-1177, July 2008.
-
(2008)
IEEE Trans. Image Process.
, vol.17
, Issue.7
, pp. 1168-1177
-
-
Maddalena, L.1
Petrosino, A.2
-
17
-
-
78650458202
-
Towards robust object detection: Integrated background modeling based on spatio-temporal features
-
T. Tanaka, A. Shimada, R.-i. Taniguchi, T. Yamashita, and D. Arita. Towards robust object detection: integrated background modeling based on spatio-temporal features. In Proc. 9th Asian Conf. Comput. Vis.-Vol. I, pages 201-212, 2010.
-
(2010)
Proc. 9th Asian Conf. Comput. Vis.-Vol. i
, pp. 201-212
-
-
Tanaka, T.1
Shimada, A.2
Taniguchi, R.-I.3
Yamashita, T.4
Arita, D.5
-
18
-
-
0033285765
-
Wallflower: Principles and practice of background maintenance
-
K. Toyama, J. Krumm, B. Brumitt, and B. Meyers. Wallflower: principles and practice of background maintenance. In Proc. IEEE Int. Conf. Comput. Vis., volume 1, pages 255-261 vol.1, 1999.
-
(1999)
Proc. IEEE Int. Conf. Comput. Vis.
, vol.1
, pp. 255-261
-
-
Toyama, K.1
Krumm, J.2
Brumitt, B.3
Meyers, B.4
-
20
-
-
33750499046
-
A consensus-based method for tracking: Modelling background scenario and foreground appearance
-
H. Wang and D. Suter. A consensus-based method for tracking: Modelling background scenario and foreground appearance. Pattern Recognit., 40(3):1091-1105, 2007.
-
(2007)
Pattern Recognit.
, vol.40
, Issue.3
, pp. 1091-1105
-
-
Wang, H.1
Suter, D.2
-
21
-
-
77955326949
-
Spatio-temporal context for codebookbased dynamic background subtraction
-
M. Wu and X. Peng. Spatio-temporal context for codebookbased dynamic background subtraction. Int. J. Electron. Commun., 64(8):739-747, 2010.
-
(2010)
Int. J. Electron. Commun.
, vol.64
, Issue.8
, pp. 739-747
-
-
Wu, M.1
Peng, X.2
-
22
-
-
33644870377
-
Efficient adaptive density estimation per image pixel for the task of background subtraction
-
Z. Zivkovic and F. van der Heijden. Efficient adaptive density estimation per image pixel for the task of background subtraction. Pattern Recognit. Lett., 27(7):773-780, 2006.
-
(2006)
Pattern Recognit. Lett.
, vol.27
, Issue.7
, pp. 773-780
-
-
Zivkovic, Z.1
Heijden Der F.Van2
|