-
1
-
-
70449603667
-
-
http://www.cse.ohio-state.edu/otcbvs-bench/.
-
-
-
-
2
-
-
34548763871
-
A robust video foreground segmentation by using generalized gaussian mixture modeling
-
DOI 10.1109/CRV.2007.7, 4228578, Proceedings - Fourth Canadian Conference on Computer and Robot Vision, CRV 2007
-
M. Allili, N. Bouguila, and D. Ziou. A robust video foreground segmentation by using generalized gaussian mixture modeling. Fourth Canadian Conference on Computer and Robot Vision, pages 503-509, 2007. (Pubitemid 47432509)
-
(2007)
Proceedings - Fourth Canadian Conference on Computer and Robot Vision, CRV 2007
, pp. 503-509
-
-
Allili, M.S.1
Bouguila, N.2
Ziou, D.3
-
4
-
-
70449580219
-
Background modeling using mixture of gaussians for foreground detection - A survey
-
T. Bouwmans, F. E. Baf, and B. Vachon. Background modeling using mixture of gaussians for foreground detection - a survey. Recent Patents on Computer Science, 1(3):219-237, November 2008.
-
(2008)
Recent Patents on Computer Science
, vol.1
, Issue.3
, pp. 219-237
-
-
Bouwmans, T.1
Baf, F.E.2
Vachon, B.3
-
5
-
-
58249090788
-
Incremental subspace learning and generating sparse representations via non-negative matrix factorization
-
S. Bucak and B. Gunsel. Incremental subspace learning and generating sparse representations via non-negative matrix factorization. Pattern Recognition, 42(5):788-797, 2009.
-
(2009)
Pattern Recognition
, vol.42
, Issue.5
, pp. 788-797
-
-
Bucak, S.1
Gunsel, B.2
-
6
-
-
13344261350
-
Vision modules for a multi sensory bridge monitoring approach
-
R. Chang, T. Ghandi, and M. Trivedi. Vision modules for a multi sensory bridge monitoring approach. IEEE Conference on Intelligent Transportation Systems, ITS 2004, pages 971-976, 2004.
-
(2004)
IEEE Conference on Intelligent Transportation Systems, ITS 2004
, pp. 971-976
-
-
Chang, R.1
Ghandi, T.2
Trivedi, M.3
-
8
-
-
67650257970
-
A spatial sampling mechanism for effective background subtraction
-
March
-
M. Cristani and V. Murino. A spatial sampling mechanism for effective background subtraction. International Conference on Image Processing, 2:403-410, March 2007.
-
(2007)
International Conference on Image Processing
, vol.2
, pp. 403-410
-
-
Cristani, M.1
Murino, V.2
-
11
-
-
84944070277
-
Non-parametric model for background subtraction. 6th European Conference on Computer Vision
-
A. Elgammal and L. Davis. Non-parametric model for background subtraction. 6th European Conference on Computer Vision, ECCV 2000, pages 751-767, 2000.
-
(2000)
ECCV 2000
, pp. 751-767
-
-
Elgammal, A.1
Davis, L.2
-
12
-
-
55249110878
-
Moving object detection in spatial domain using background removal techniques - State-of-art
-
S. Elhabian, K. El-Sayed, and S. Ahmed. Moving object detection in spatial domain using background removal techniques - state-of-art. Recent Patents on Computer Science, 1(1):32-54, 2008.
-
(2008)
Recent Patents on Computer Science
, vol.1
, Issue.1
, pp. 32-54
-
-
Elhabian, S.1
El-Sayed, K.2
Ahmed, S.3
-
13
-
-
0035694422
-
The systematic design and analysis cycle of a vision system: A case study in video surveillance
-
M. Greiffenhagen, V Ramesh, and H. Niemann. The systematic design and analysis cycle of a vision system: A case study in video surveillance. IEEE CVPR 2001, 2:704, 2001.
-
(2001)
IEEE CVPR 2001
, vol.2
, pp. 704
-
-
Greiffenhagen, M.1
Ramesh, V.2
Niemann, H.3
-
14
-
-
32544460952
-
Update the GMMs via adaptive Kalman filtering
-
DOI 10.1117/12.632719, Visual Communications and Image Processing 2005
-
B. Han and X. Lin. Update the gmms via adaptive kalman filtering. Proceedings of SPIE - The International Society for Optical Engineering, 5960(3):1506-1515, 2005. (Pubitemid 43233321)
-
(2005)
Proceedings of SPIE - the International Society for Optical Engineering
, vol.5960
, Issue.3
, pp. 1506-1515
-
-
Han, B.1
Lin, X.2
-
15
-
-
84950000200
-
A framework for high-level feedback to adaptive, per-pixel, mixture-of-gaussian background models
-
Mai
-
M. Harville. A framework for high-level feedback to adaptive, per-pixel, mixture-of-gaussian background models. Proceedings of the 7th European Conference on Computer Vision, pages 543-560, Mai 2002.
-
(2002)
Proceedings of the 7th European Conference on Computer Vision
, pp. 543-560
-
-
Harville, M.1
-
16
-
-
0041508620
-
A real-time adaptive visual survelance system for tracking low resolution colour targets in dynamically changing scenes
-
P. KaewTraKulPong and R. Bowden. A real-time adaptive visual survelance system for tracking low resolution colour targets in dynamically changing scenes. Journal of Image and Vision Computing, 21(10):913-929, 2003.
-
(2003)
Journal of Image and Vision Computing
, vol.21
, Issue.10
, pp. 913-929
-
-
KaewTraKulPong, P.1
Bowden, R.2
-
17
-
-
38849108290
-
Background subtraction using generalized gaussian family model
-
January
-
H. Kim, R. Sakamoto, I. Kitahara, T. Toriyama, and K. Kogure. Background subtraction using generalized gaussian family model. IET Electronics Letters, 44(3): 189-190, January 2008.
-
(2008)
IET Electronics Letters
, vol.44
, Issue.3
, pp. 189-190
-
-
Kim, H.1
Sakamoto, R.2
Kitahara, I.3
Toriyama, T.4
Kogure, K.5
-
20
-
-
7444243389
-
Statistical modeling of complex background for foreground object detection
-
L Li and W Huang. Statistical modeling of complex background for foreground object detection. IEEE transaction image processing, 13(11):1459-1472, 2004.
-
(2004)
IEEE Transaction Image Processing
, vol.13
, Issue.11
, pp. 1459-1472
-
-
Li, L.1
Huang, W.2
-
21
-
-
70449586389
-
Robust foreground segmentation based on two effective background models
-
October
-
X. Li, W Hu, Z. Zhang, and X. Zhang. Robust foreground segmentation based on two effective background models. Multimedia Information Retrieval, pages 223-228, October 2008.
-
(2008)
Multimedia Information Retrieval
, pp. 223-228
-
-
Li, X.1
Hu, W.2
Zhang, Z.3
Zhang, X.4
-
22
-
-
0036453534
-
A probabilistic SVM approach for background scene initialization
-
September
-
H Lin, T. Liu, and J. Chuang. A probabilistic SVM approach for background scene initialization. ICIP 2002, September 2002.
-
(2002)
ICIP 2002
-
-
Lin, H.1
Liu, T.2
Chuang, J.3
-
28
-
-
33748775226
-
Achieving real-time object detection and tracking under extreme conditions
-
Springer, October
-
F Porikli. Achieving real-time object detection and tracking under extreme conditions. Journal of Real-Time Image Processing, Springer, 1(1):33-40, October 2006.
-
(2006)
Journal of Real-Time Image Processing
, vol.1
, Issue.1
, pp. 33-40
-
-
Porikli, F.1
-
34
-
-
58049211805
-
Independent component analysisbased background subtraction for indoor surveillance
-
January
-
D. Tsai and C. Lai. Independent component analysisbased background subtraction for indoor surveillance. IEEE Transactions on Image Processing, 18(1):158-167, January 2009.
-
(2009)
IEEE Transactions on Image Processing
, vol.18
, Issue.1
, pp. 158-167
-
-
Tsai, D.1
Lai, C.2
-
37
-
-
48149088137
-
Accurate dynamic scene model for moving object detection
-
H Yang, Y Tan, J. Tian, and J. Liu. Accurate dynamic scene model for moving object detection. International Conference on Image Processing, 6:157-160, 2007.
-
(2007)
International Conference on Image Processing
, vol.6
, pp. 157-160
-
-
Yang, H.1
Tan, Y.2
Tian, J.3
Liu, J.4
-
38
-
-
70449582165
-
Real-time and accurate segmentation of moving objects in dynamic scene
-
October
-
T. Yang, S. Li, Q. Pan, and J. Li. Real-time and accurate segmentation of moving objects in dynamic scene. ACM VSSN 2004, October 2004.
-
(2004)
ACM VSSN 2004
-
-
Yang, T.1
Li, S.2
Pan, Q.3
Li, J.4
-
39
-
-
49449100216
-
Type-2 fuzzy gaussian mixture models
-
December
-
J. Zeng, L. Xie, and Z. Liu. Type-2 fuzzy gaussian mixture models. Pattern Recognition, 41(12):3636-3643, December 2008.
-
(2008)
Pattern Recognition
, vol.41
, Issue.12
, pp. 3636-3643
-
-
Zeng, J.1
Xie, L.2
Liu, Z.3
-
40
-
-
34548069655
-
Spatiotemporal gaussian mixture model to detect moving objects in dynamic scenes
-
Avril
-
W Zhang, X. Fang, X. Yang, and Q. Wu. Spatiotemporal gaussian mixture model to detect moving objects in dynamic scenes. Journal of Electronic Imaging, 16(2), Avril 2007.
-
(2007)
Journal of Electronic Imaging
, vol.16
, pp. 2
-
-
Zhang, W.1
Fang, X.2
Yang, X.3
Wu, Q.4
|