-
1
-
-
0000676489
-
Bayesian algorithms for adaptive change detection in image sequences using Markov random fields
-
T. Aach and A. Kaup. Bayesian algorithms for adaptive change detection in image sequences using Markov random fields. Signal Process., Image Commun., 7:147-160, 1995.
-
(1995)
Signal Process., Image Commun
, vol.7
, pp. 147-160
-
-
Aach, T.1
Kaup, A.2
-
2
-
-
78149489170
-
Finite general Gaussian mixture modelling and application to image and video foreground segmentation
-
M.S. Allili, N. Bouguila, and D. Ziou. Finite general Gaussian mixture modelling and application to image and video foreground segmentation. J. of Elec. Imaging, 17:1-23, 2008.
-
(2008)
J. of Elec. Imaging
, vol.17
, pp. 1-23
-
-
Allili, M.S.1
Bouguila, N.2
Ziou, D.3
-
3
-
-
79957497122
-
ViBe: A universal background subtraction algorithm for video sequences
-
June
-
O. Barnich and M. Van Droogenbroeck. ViBe: A universal background subtraction algorithm for video sequences. IEEE Trans. Image Process., 20(6):1709-1724, June 2011.
-
(2011)
IEEE Trans. Image Process
, vol.20
, Issue.6
, pp. 1709-1724
-
-
Barnich, O.1
van Droogenbroeck, M.2
-
6
-
-
77957919935
-
Review and evaluation of commonly-implemented background subtraction algorithms
-
December
-
Y. Benezeth, P. Jodoin, B. Emile, H. Laurent, and C. Rosenberger. Review and evaluation of commonly-implemented background subtraction algorithms. In Proc. Int. Conf. Pattern Recognition, pages 1-4, December 2008.
-
(2008)
Proc. Int. Conf. Pattern Recognition
, pp. 1-4
-
-
Benezeth, Y.1
Jodoin, P.2
Emile, B.3
Laurent, H.4
Rosenberger, C.5
-
7
-
-
78650628507
-
Comparative study of background subtraction algorithms
-
Y. Benezeth, P-M. Jodoin, B. Emile, H. Laurent, and C. Rosenberger. Comparative study of background subtraction algorithms. J. of Elec. Imaging, 19(3):1-12, 2010.
-
(2010)
J. of Elec. Imaging
, vol.19
, Issue.3
, pp. 1-12
-
-
Benezeth, Y.1
Jodoin, P.-M.2
Emile, B.3
Laurent, H.4
Rosenberger, C.5
-
8
-
-
0035279879
-
The recognition of human movement using temporal templates
-
A. F. Bobick and J. W. Davis. The recognition of human movement using temporal templates. IEEE Trans. Pattern Anal. Machine Intell., 23(3):257-267, 2001.
-
(2001)
IEEE Trans. Pattern Anal. Machine Intell
, vol.23
, Issue.3
, pp. 257-267
-
-
Bobick, A.F.1
Davis, J.W.2
-
9
-
-
80053143044
-
Recent advanced statistical background modeling for foreground detection: A systematic survey
-
T. Bouwmans. Recent advanced statistical background modeling for foreground detection: A systematic survey. Recent Patents on Computer Science, 4(3), 2011.
-
(2011)
Recent Patents on Computer Science
, vol.4
, Issue.3
-
-
Bouwmans, T.1
-
10
-
-
70449580219
-
Background modeling using mixture of Gaussians for foreground detection: A survey
-
T. Bouwmans, F. El Baf, and B. Vachon. Background modeling using mixture of Gaussians for foreground detection: A survey. Recent Patents on Computer Science, 1(3):219-237, 2008.
-
(2008)
Recent Patents on Computer Science
, vol.1
, Issue.3
, pp. 219-237
-
-
Bouwmans, T.1
El Baf, F.2
Vachon, B.3
-
11
-
-
84867122322
-
Unachievable region in precision-recall space and its effect on empirical evaluation
-
Edinburgh, UK, June-July 2012
-
K. Boyd, V. Costa, J. Davis, and C. Page. Unachievable region in precision-recall space and its effect on empirical evaluation. In 29th International Conference on Machine Learning (ICML), Edinburgh, UK, June-July 2012.
-
29Th International Conference on Machine Learning (ICML)
-
-
Boyd, K.1
Costa, V.2
Davis, J.3
Page, C.4
-
13
-
-
33847003281
-
Real-time adaptive background segmentation
-
D. Butler, S. Sridharan, and M. Bove. Real-time adaptive background segmentation. In ICME, pages 341-344, 2003.
-
(2003)
ICME
, pp. 341-344
-
-
Butler, D.1
Sridharan, S.2
Bove, M.3
-
14
-
-
84863038003
-
A hierarchical model incorporating segmented regions and pixel descriptors for video background subtraction
-
February
-
S. Chen, J. Zhang, Y. Li, and J. Zhang. A hierarchical model incorporating segmented regions and pixel descriptors for video background subtraction. IEEE Transactions on Industrial Informatics, 8(1):118-127, February 2012.
-
(2012)
IEEE Transactions on Industrial Informatics
, vol.8
, Issue.1
, pp. 118-127
-
-
Chen, S.1
Zhang, J.2
Li, Y.3
Zhang, J.4
-
15
-
-
34249105516
-
Efficient hierarchical method for background subtraction
-
Y. Chen, C. Chen, C. Huang, and Y. Hung. Efficient hierarchical method for background subtraction. Pattern Recognition, 40(10):2706-2715, 2007.
-
(2007)
Pattern Recognition
, vol.40
, Issue.10
, pp. 2706-2715
-
-
Chen, Y.1
Chen, C.2
Huang, C.3
Hung, Y.4
-
16
-
-
79955364171
-
Real-time discriminative background subtraction
-
L. Cheng, M. Gong, D. Schuurmans, and T. Caelli. Real-time discriminative background subtraction. IEEE Trans. Image Process., 20(5):1401-1414, 2011.
-
(2011)
IEEE Trans. Image Process
, vol.20
, Issue.5
, pp. 1401-1414
-
-
Cheng, L.1
Gong, M.2
Schuurmans, D.3
Caelli, T.4
-
17
-
-
0142103248
-
Detecting moving objects, ghosts, and shadows in video streams
-
October
-
R. Cucchiara, C. Grana, M. Piccardi, and A. Prati. Detecting moving objects, ghosts, and shadows in video streams. IEEE Trans. Pattern Anal. Machine Intell., 25(10):1337-1342, October 2003.
-
(2003)
IEEE Trans. Pattern Anal. Machine Intell
, vol.25
, Issue.10
, pp. 1337-1342
-
-
Cucchiara, R.1
Grana, C.2
Piccardi, M.3
Prati, A.4
-
18
-
-
85013613626
-
Illumination invariant foreground detection using multi-subspace learning
-
Y. Dong, T.X. Han, and G.N. Desouza. Illumination invariant foreground detection using multi-subspace learning. Int. J. Know.-Based Intell. Eng. Syst., 14(1):31-41, 2010.
-
(2010)
Int. J. Know.-Based Intell. Eng. Syst
, vol.14
, Issue.1
, pp. 31-41
-
-
Dong, Y.1
Han, T.X.2
Desouza, G.N.3
-
19
-
-
33751584745
-
The combining classifier: To train or not to train?
-
Quebec City, Canada, August
-
R. Duin. The combining classifier: to train or not to train? In IEEE International Conference on Pattern Recognition (ICPR), volume 2, pages 765-770, Quebec City, Canada, August 2002.
-
(2002)
IEEE International Conference on Pattern Recognition (ICPR)
, vol.2
, pp. 765-770
-
-
Duin, R.1
-
21
-
-
33645307063
-
Background and foreground modeling using nonparametric kernel density for visual surveillance
-
A. Elgammal, R. Duraiswami, D. Harwood, and L.S. Davis. Background and foreground modeling using nonparametric kernel density for visual surveillance. Proc. IEEE, 90:1151-1163, 2002.
-
(2002)
Proc. IEEE
, vol.90
, pp. 1151-1163
-
-
Elgammal, A.1
Duraiswami, R.2
Harwood, D.3
Davis, L.S.4
-
27
-
-
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 IEEE Workshop on Change Detection, 2012.
-
(2012)
IEEE Workshop on Change Detection
-
-
Goyette, N.1
Jodoin, P.-M.2
Porikli, F.3
Konrad, J.4
Ishwar, P.5
-
28
-
-
84865036551
-
Changedetection.Net: A new change detection benchmark dataset
-
Rhode Island, June
-
N. Goyette, P.-M. Jodoin, F. Porikli, J. Konrad, and P. Ishwar. changedetection.net: A new change detection benchmark dataset. In Change Detection Workshop (CDW), Providence, Rhode Island, June 2012.
-
(2012)
Change Detection Workshop (CDW), Providence
-
-
Goyette, N.1
Jodoin, P.-M.2
Porikli, F.3
Konrad, J.4
Ishwar, P.5
-
30
-
-
84859175807
-
Density-based multifeature background subtraction with support vector machine
-
B. Han and L. Davis. Density-based multifeature background subtraction with support vector machine. IEEE Trans. Pattern Anal. Machine Intell., 34(5), 2012.
-
(2012)
IEEE Trans. Pattern Anal. Machine Intell
, vol.34
, Issue.5
-
-
Han, B.1
Davis, L.2
-
31
-
-
38149095107
-
Real-time foreground-background segmentation using adaptive support vector machine algorithm
-
Z. Hao, W. Wen, Z. Liu, and X. Yang. Real-time foreground-background segmentation using adaptive support vector machine algorithm. In Proc of ICANN, pages 603-610, 2007.
-
(2007)
Proc of ICANN
, pp. 603-610
-
-
Hao, Z.1
Wen, W.2
Liu, Z.3
Yang, X.4
-
32
-
-
84865029463
-
Background segmentation with feedback: The pixel-based adaptive segmenter
-
M. Hofmann. Background segmentation with feedback: The pixel-based adaptive segmenter. In IEEE Workshop on Change Detection, 2012.
-
(2012)
IEEE Workshop on Change Detection
-
-
Hofmann, M.1
-
33
-
-
34247333309
-
Region-level motion-based background modeling and subtraction using MRFs
-
May
-
S.-S. Huang, L.-C. Fu, and P.-Y. Hsiao. Region-level motion-based background modeling and subtraction using MRFs. IEEE Transactions on Image Processing, 16(5):1446-1456, May 2007.
-
(2007)
IEEE Transactions on Image Processing
, vol.16
, Issue.5
, pp. 1446-1456
-
-
Huang, S.-S.1
Fu, L.-C.2
Hsiao, P.-Y.3
-
34
-
-
84964316524
-
A hierarchical approach to robust background subtraction using color and gradient information
-
December
-
O. Javed, K. Shafique, and M. Shah. A hierarchical approach to robust background subtraction using color and gradient information. In Workshop on Motion and Video Computing, pages 22-27, December 2002.
-
(2002)
Workshop on Motion and Video Computing
, pp. 22-27
-
-
Javed, O.1
Shafique, K.2
Shah, M.3
-
36
-
-
36549012671
-
Statistical background subtraction methods using spatial cues
-
P-M. Jodoin, M. Mignotte, and J. Konrad. Statistical background subtraction methods using spatial cues. IEEE Trans. Circuits Syst. Video Technol., 17(12):1758-1763, 2007.
-
(2007)
IEEE Trans. Circuits Syst. Video Technol
, vol.17
, Issue.12
, pp. 1758-1763
-
-
Jodoin, P.-M.1
Mignotte, M.2
Konrad, J.3
-
39
-
-
0001408591
-
Moving object recognition using an adaptive background memory
-
In Capellini, editor, Amsterdam, The Netherlands, Elsevier
-
K. Karman and A. von Brandt. Moving object recognition using an adaptive background memory. In Capellini, editor, Time-varying Image Processing and Moving Object Recognition, volume 2, pages 297-307, Amsterdam, The Netherlands, 1990. Elsevier.
-
(1990)
Time-Varying Image Processing and Moving Object Recognition
, vol.2
, pp. 297-307
-
-
Karman, K.1
Von Brandt, A.2
-
40
-
-
38149078188
-
Robust foreground extraction technique using Gaussian family model and multiple thresholds
-
H. Kim, R. Sakamoto, I. Kitahara, T. Toriyama, and K. Kogure. Robust foreground extraction technique using Gaussian family model and multiple thresholds. In ACCV, pages 758-768, 2007.
-
(2007)
ACCV
, pp. 758-768
-
-
Kim, H.1
Sakamoto, R.2
Kitahara, I.3
Toriyama, T.4
Kogure, K.5
-
41
-
-
21644463503
-
Real-time foreground-background segmentation using codebook model, real-time imaging
-
K. Kim, T. Chalidabhongse, D. Harwood, and L. Davis. Real-time foreground-background segmentation using codebook model, real-time imaging. Real-Time Imaging, 11(3):172-185, 2005.
-
(2005)
Real-Time Imaging
, vol.11
, Issue.3
, pp. 172-185
-
-
Kim, K.1
Chalidabhongse, T.2
Harwood, D.3
Davis, L.4
-
42
-
-
85060427098
-
Novelty detection using growing neural gas for visuospatial memory
-
D. Kit, B. Sullivan, and D. Ballard. Novelty detection using growing neural gas for visuospatial memory. In IEEE IROS, 2011.
-
(2011)
IEEE IROS
-
-
Kit, D.1
Sullivan, B.2
Ballard, D.3
-
43
-
-
2442689454
-
Combining classifiers
-
Vienna, Austria, August
-
J. Kittler, M. Hatef, and R. Duin. Combining classifiers. In IEEE International Conference on Pattern Recognition (ICPR), volume 2, pages 897-901, Vienna, Austria, August 1996.
-
(1996)
IEEE International Conference on Pattern Recognition (ICPR)
, vol.2
, pp. 897-901
-
-
Kittler, J.1
Hatef, M.2
Duin, R.3
-
45
-
-
0038133019
-
Limits on the majority vote accuracy in classifier fusion
-
April
-
L. Kuncheva, C. Whitaker, C. Shipp, and R. Duin. Limits on the majority vote accuracy in classifier fusion. Pattern Analysis & Applications, 6(1):22-31, April 2003.
-
(2003)
Pattern Analysis & Applications
, vol.6
, Issue.1
, pp. 22-31
-
-
Kuncheva, L.1
Whitaker, C.2
Shipp, C.3
Duin, R.4
-
46
-
-
34147120594
-
Precision-recall operating characteristic (P-ROC) curves in imprecise environments
-
Hong Kong, August
-
T. Landgrebe, P. Paclík, R. Duin, and A. Bradley. Precision-recall operating characteristic (P-ROC) curves in imprecise environments. In IEEE International Conference on Pattern Recognition (ICPR), volume 4, pages 123-127, Hong Kong, August 2006.
-
(2006)
IEEE International Conference on Pattern Recognition (ICPR)
, vol.4
, pp. 123-127
-
-
Landgrebe, T.1
Paclík, P.2
Duin, R.3
Bradley, A.4
-
47
-
-
7444243389
-
Statistical modeling of complex backgrounds for foreground object detection
-
L. Li, W. Huang, I. Y. Gu, and Q. Tian. Statistical modeling of complex backgrounds for foreground object detection. IEEE Trans. Image Process., 13(11):1459-1472, 2004.
-
(2004)
IEEE Trans. Image Process
, vol.13
, Issue.11
, pp. 1459-1472
-
-
Li, L.1
Huang, W.2
Gu, I.Y.3
Tian, Q.4
-
48
-
-
2442471723
-
On incremental and robust subspace learning
-
Y. Li. On incremental and robust subspace learning. Pattern Recognit., 37:1509-1518, 2004.
-
(2004)
Pattern Recognit
, vol.37
, pp. 1509-1518
-
-
Li, Y.1
-
49
-
-
84872721949
-
Large area video surveillance system with handoff scheme among multiple cameras
-
C-C Lien, Y-M Jiang, and L-G Jang. Large area video surveillance system with handoff scheme among multiple cameras. In MVA, pages 463-466, 2009.
-
(2009)
MVA
, pp. 463-466
-
-
Lien, C.-C.1
Jiang, Y.-M.2
Jang, L.-G.3
-
51
-
-
78649728374
-
Fast image motion segmentation for surveillance applications
-
X. Lu and R. Manduchi. Fast image motion segmentation for surveillance applications. Image Vis. Comput., 29(2-3):104-116, 2011.
-
(2011)
Image Vis. Comput
, vol.29
, Issue.2-3
, pp. 104-116
-
-
Lu, X.1
Manduchi, R.2
-
52
-
-
45949086871
-
A self-organizing approach to background subtraction for visual surveillance applications
-
L. Maddalena and A. Petrosino. A self-organizing approach to background subtraction for visual surveillance applications. IEEE Transactions on Image Processing, 17(7):1168-1177, 2008.
-
(2008)
IEEE Transactions on Image Processing
, vol.17
, Issue.7
, pp. 1168-1177
-
-
Maddalena, L.1
Petrosino, A.2
-
55
-
-
0029220539
-
Segmentation and tracking of piglets in images
-
N. McFarlane and C. Schofield. Segmentation and tracking of piglets in images. Mach. vis. and appl., 8:187-193, 1995.
-
(1995)
Mach. Vis. and Appl
, vol.8
, pp. 187-193
-
-
McFarlane, N.1
Schofield, C.2
-
56
-
-
64249083088
-
Foreground-adaptive background subtraction
-
May
-
J.M. McHugh, J. Konrad, V. Saligrama, and P.-M. Jodoin. Foreground-adaptive background subtraction. IEEE Signal Process. Lett., 16(5):390-393, May 2009.
-
(2009)
IEEE Signal Process. Lett
, vol.16
, Issue.5
, pp. 390-393
-
-
McHugh, J.M.1
Konrad, J.2
Saligrama, V.3
Jodoin, P.-M.4
-
57
-
-
0032073537
-
Dense estimation and object-based segmentation of the optical flow with robust techniques
-
E. Memin and P. Perez. Dense estimation and object-based segmentation of the optical flow with robust techniques. IEEE Trans. Image Process., 7(5):703-719, 1998.
-
(1998)
IEEE Trans. Image Process
, vol.7
, Issue.5
, pp. 703-719
-
-
Memin, E.1
Perez, P.2
-
60
-
-
33746649575
-
Performance evaluation of object detection algorithms for video surveillance
-
J. Nascimento and J. Marques. Performance evaluation of object detection algorithms for video surveillance. IEEE Trans. Multimedia, 8(8):761-774, 2006.
-
(2006)
IEEE Trans. Multimedia
, vol.8
, Issue.8
, pp. 761-774
-
-
Nascimento, J.1
Marques, J.2
-
62
-
-
0034245149
-
A Bayesian computer vision system for modeling human interactions
-
N. M. Oliver, B. Rosario, and A. P. Pentland. A Bayesian computer vision system for modeling human interactions. IEEE Trans. Pattern Anal. Machine Intell., 22(8):831-843, 2000.
-
(2000)
IEEE Trans. Pattern Anal. Machine Intell
, vol.22
, Issue.8
, pp. 831-843
-
-
Oliver, N.M.1
Rosario, B.2
Pentland, A.P.3
-
63
-
-
84898448793
-
Background subtraction in videos using bayesian learning with motion information
-
S. K. Mitra P. Jaikumar, A. Singh. Background subtraction in videos using bayesian learning with motion information. In British Mach. Vis. Conf, pages 1-10, 2008.
-
(2008)
British Mach. Vis. Conf
, pp. 1-10
-
-
Jaikumar, S.K.M.P.1
Singh, A.2
-
64
-
-
33845587420
-
A framework for feature selection for background subtraction
-
New York, USA, June
-
T. Parag, A. Elgammal, and A. Mittal. A framework for feature selection for background subtraction. In Proc. IEEE Conf. Computer Vision Pattern Recognition, pages 1916-1923, New York, USA, June 2006.
-
(2006)
Proc. IEEE Conf. Computer Vision Pattern Recognition
, pp. 1916-1923
-
-
Parag, T.1
Elgammal, A.2
Mittal, A.3
-
68
-
-
35348860159
-
Multiplicative background-foreground estimation under uncontrolled illumination using intrinsic images
-
Breckenridge
-
F. Porikli. Multiplicative background-foreground estimation under uncontrolled illumination using intrinsic images. In Proc. of IEEE Motion Multi-Workshop, Breckenridge, 2005.
-
(2005)
Proc. of IEEE Motion Multi-Workshop
-
-
Porikli, F.1
-
71
-
-
0035696697
-
Analysis and detection of shadows in video streams: A comparative evaluation
-
A. Prati, R. Cucchiara, I. Mikic, and M. Trivedi. Analysis and detection of shadows in video streams: A comparative evaluation. In Proc. IEEE Conf. Computer Vision Pattern Recognition, pages 571-577, 2001.
-
(2001)
Proc. IEEE Conf. Computer Vision Pattern Recognition
, pp. 571-577
-
-
Prati, A.1
Cucchiara, R.2
Mikic, I.3
Trivedi, M.4
-
72
-
-
14844339425
-
Image change detection algorithms: A systematic survey
-
R. Radke, S. Andra, O. Al-Kofahi, and B. Roysam. Image change detection algorithms: A systematic survey. IEEE Trans. Image Process., 14:294-307, 2005.
-
(2005)
IEEE Trans. Image Process
, vol.14
, pp. 294-307
-
-
Radke, R.1
Andra, S.2
Al-Kofahi, O.3
Roysam, B.4
-
74
-
-
0042842434
-
Evaluation of global image thresholding for change detection
-
P. Rosin and E. Ioannidis. Evaluation of global image thresholding for change detection. Pattern Recognit. Lett., 24:2345-2356, 2003.
-
(2003)
Pattern Recognit. Lett
, vol.24
, pp. 2345-2356
-
-
Rosin, P.1
Ioannidis, E.2
-
75
-
-
20444447640
-
Adaptive eigen-backgrounds for object detection
-
J. Rymel, J. Renno, D. Greenhill, J. Orwell, and G.A. Jones. Adaptive eigen-backgrounds for object detection. In Proc. IEEE Int. Conf. Image Processing, pages 1847-1850, 2004.
-
(2004)
Proc. IEEE Int. Conf. Image Processing
, pp. 1847-1850
-
-
Rymel, J.1
Renno, J.2
Greenhill, D.3
Orwell, J.4
Jones, G.A.5
-
79
-
-
0034850596
-
Topology free Hidden Markov Models: Application to background modeling
-
B. Stenger, V. Ramesh, N. Paragios, F. Coetzee, and J. Buhmann. Topology free Hidden Markov Models: application to background modeling. Proc. IEEE Int. Conf. Computer Vision, 2001.
-
(2001)
Proc. IEEE Int. Conf. Computer Vision
-
-
Stenger, B.1
Ramesh, V.2
Paragios, N.3
Coetzee, F.4
Buhmann, J.5
-
80
-
-
79953050293
-
Mixture of Gaussians-based background subtraction for Bayer-pattern image sequences
-
March
-
J. Suhr, H. Jung, G. Li, and J. Kim. Mixture of Gaussians-based background subtraction for Bayer-pattern image sequences. IEEE Trans. Circuits Syst. Video Technol., 21(3):365-370, March 2011.
-
(2011)
IEEE Trans. Circuits Syst. Video Technol
, vol.21
, Issue.3
, pp. 365-370
-
-
Suhr, J.1
Jung, H.2
Li, G.3
Kim, J.4
-
81
-
-
0033713738
-
Combining multiple classifiers by averaging or by multiplying?
-
D. Tax, M. van Breukelen, R. Duin, and J. Kittler. Combining multiple classifiers by averaging or by multiplying? Pattern Recognition, 33(9):1475-1485, 2000.
-
(2000)
Pattern Recognition
, vol.33
, Issue.9
, pp. 1475-1485
-
-
Tax, D.1
van Breukelen, M.2
Duin, R.3
Kittler, J.4
-
82
-
-
35348867399
-
Robust salient motion detection with complex background for real-time video surveillance
-
Y-L. Tian and A. Hampapur. Robust salient motion detection with complex background for real-time video surveillance. In WACV/MOTION, pages 30-35, 2005.
-
(2005)
WACV/MOTION
, pp. 30-35
-
-
Tian, Y.-L.1
Hampapur, A.2
-
83
-
-
69949118477
-
A ground truth for motion-based videoobject segmentation
-
F. Tiburzi, M. Escudero, J. Bescos, and J. Martinez. A ground truth for motion-based videoobject segmentation. In Proc. IEEE Int. Conf. Image Processing, pages 17-20, 2008.
-
(2008)
Proc. IEEE Int. Conf. Image Processing
, pp. 17-20
-
-
Tiburzi, F.1
Escudero, M.2
Bescos, J.3
Martinez, J.4
-
84
-
-
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. Computer Vision, volume 1, pages 255-261, 1999.
-
(1999)
Proc. IEEE Int. Conf. Computer Vision
, vol.1
, pp. 255-261
-
-
Toyama, K.1
Krumm, J.2
Brumitt, B.3
Meyers, B.4
-
85
-
-
84864987290
-
Background subtraction: Experiments and improvements for ViBe
-
Providence, Rhode Island, USA, June
-
M. Van Droogenbroeck and O. Paquot. Background subtraction: Experiments and improvements for ViBe. In IEEE Workshop on Change Detection, pages 32-37, Providence, Rhode Island, USA, June 2012.
-
(2012)
IEEE Workshop on Change Detection
, pp. 32-37
-
-
van Droogenbroeck, M.1
Paquot, O.2
-
86
-
-
77955173456
-
Video surveillance online repository (ViSOR): An integrated framework
-
R. Vezzani and R. Cucchiara. Video surveillance online repository (ViSOR): an integrated framework. Multimedia Tools and Applications, 50(2):359-380, 2010.
-
(2010)
Multimedia Tools and Applications
, vol.50
, Issue.2
, pp. 359-380
-
-
Vezzani, R.1
Cucchiara, R.2
-
87
-
-
33750499046
-
A consensus-based method for tracking: Modelling background scenario and foreground appearance
-
March
-
H. Wang and D. Suter. A consensus-based method for tracking: Modelling background scenario and foreground appearance. Pattern Recognit., 40(3):1091-1105, March 2007.
-
(2007)
Pattern Recognit
, vol.40
, Issue.3
, pp. 1091-1105
-
-
Wang, H.1
Suter, D.2
-
89
-
-
1942438249
-
Simultaneous truth and performance level estimation (STAPLE): An algorithm for the validation of image segmentation
-
July
-
S. Warfield, K. Zou, and W. Wells. Simultaneous truth and performance level estimation (STAPLE): An algorithm for the validation of image segmentation. IEEE Transactions on Medical Imaging, 23(7):903-921, July 2004.
-
(2004)
IEEE Transactions on Medical Imaging
, vol.23
, Issue.7
, pp. 903-921
-
-
Warfield, S.1
Zou, K.2
Wells, W.3
-
90
-
-
0034244906
-
Detecting salient motion by accumulating directionally-consistent flow
-
L. Wixson. Detecting salient motion by accumulating directionally-consistent flow. IEEE Trans. Pattern Anal. Machine Intell., 22, 2000.
-
(2000)
IEEE Trans. Pattern Anal. Machine Intell
, pp. 22
-
-
Wixson, L.1
-
91
-
-
0031187308
-
Pfinder: Real-time tracking of the human body
-
C. R. Wren, A. Azarbayejani, T. Darrell, and A. P. Pentland. Pfinder: Real-time tracking of the human body. IEEE Trans. Pattern Anal. Machine Intell., 19(7):780-785, 1997.
-
(1997)
IEEE Trans. Pattern Anal. Machine Intell
, vol.19
, Issue.7
, pp. 780-785
-
-
Wren, C.R.1
Azarbayejani, A.2
Darrell, T.3
Pentland, A.P.4
-
92
-
-
0026860706
-
Methods of combining multiple classifiers and their applications to handwriting recognition
-
May-June
-
L. Xu, A. Krzyżak, and C. Suen. Methods of combining multiple classifiers and their applications to handwriting recognition. IEEE Transactions on Systems, Man, and Cybernetics, 22(3):418-435, May-June 1992.
-
(1992)
IEEE Transactions on Systems, Man, and Cybernetics
, vol.22
, Issue.3
, pp. 418-435
-
-
Xu, L.1
Krzyżak, A.2
Suen, C.3
-
93
-
-
0001869554
-
Illumination-invariant motion detection using colour mixture models
-
M. Xu and T. Ellis. Illumination-invariant motion detection using colour mixture models. In British Mach. Vis. Conf, pages 163-172, 2001.
-
(2001)
British Mach. Vis. Conf
, pp. 163-172
-
-
Xu, M.1
Ellis, T.2
-
94
-
-
33845254583
-
An eigenbackground subtraction method using recursive error compensation
-
Z. Xu, P. Shi, and I. Yu-Hua Gu. An eigenbackground subtraction method using recursive error compensation. In PCM, pages 779-787, 2006.
-
(2006)
PCM
, pp. 779-787
-
-
Xu, Z.1
Shi, P.2
Yu-Hua Gu, I.3
-
98
-
-
33749574135
-
Extracting roadway background image: A mode based approach
-
J. Zheng, Y. Wang, N. Nihan, and E. Hallenbeck. Extracting roadway background image: A mode based approach. J. of Transp. Research Report, pages 82-88, 2006.
-
(2006)
J. of Transp. Research Report
, pp. 82-88
-
-
Zheng, J.1
Wang, Y.2
Nihan, N.3
Hallenbeck, E.4
-
99
-
-
0344551957
-
Segmenting foreground objects from a dynamic textured background via a robust kalman filter
-
J. Zhong and S. Sclaroff. Segmenting foreground objects from a dynamic textured background via a robust kalman filter. In Proc. IEEE Int. Conf. Computer Vision, pages 44-50, 2003.
-
(2003)
Proc. IEEE Int. Conf. Computer Vision
, pp. 44-50
-
-
Zhong, J.1
Sclaroff, S.2
-
100
-
-
27944498578
-
Modified GMM background modeling and optical flow for detection of moving objects
-
D. Zhou and H. Zhang. Modified GMM background modeling and optical flow for detection of moving objects. In Conf. IEEE Int. Conf. Sys., Man and Cyb., pages 2224-2229, 2005.
-
(2005)
Conf. IEEE Int. Conf. Sys., Man and Cyb
, pp. 2224-2229
-
-
Zhou, D.1
Zhang, H.2
-
101
-
-
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., 27:773-780, 2006.
-
(2006)
Pattern Recognit. Lett
, vol.27
, pp. 773-780
-
-
Zivkovic, Z.1
van Der Heijden, F.2
|