-
1
-
-
0142103248
-
Detecting moving objects, ghosts, and shadows in video streams
-
Cucchiara R., et al. Detecting moving objects, ghosts, and shadows in video streams. IEEE Trans. Pattern Anal. Mach. Intell. 25 10 (2003) 1337-1342
-
(2003)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.25
, Issue.10
, pp. 1337-1342
-
-
Cucchiara, R.1
-
3
-
-
0037324734
-
2 Tracker: a multi-view approach to segmenting and tracking people in a clutter scene
-
2 Tracker: a multi-view approach to segmenting and tracking people in a clutter scene. Int. J. Comput. Vision 51 3 (2003) 189-203
-
(2003)
Int. J. Comput. Vision
, vol.51
, Issue.3
, pp. 189-203
-
-
Mittal, A.1
Davis, L.S.2
-
4
-
-
33750502206
-
-
A. Senior, Tracking with probabilistic appearance models, Perform. Eval. Tracking Surveillance Syst. (2002) 48-55.
-
-
-
-
5
-
-
0032634283
-
-
C. Stauffer, W.E.L. Grimson, Adaptive background mixture models for real-time tracking, Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition, 1999, pp. 246-252.
-
-
-
-
6
-
-
0034856593
-
-
D. Gutchess, et al., A background model initialization algorithm for video surveillance, IEEE International Conference on Computer Vision, 2001, pp. 733-740.
-
-
-
-
8
-
-
84958603129
-
-
N. Oliver, B. Rosario, A. Pentland, A Bayesian computer vision system for modeling human interactions, Int. Conf. Comput. Vision Syst. (1999) 255-272.
-
-
-
-
9
-
-
0031187308
-
Pfinder: real-time tracking of the human body
-
Wren C.R., et al. Pfinder: real-time tracking of the human body. IEEE Trans. Pattern Anal. Mach. Intell. 19 7 (1997) 780-785
-
(1997)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.19
, Issue.7
, pp. 780-785
-
-
Wren, C.R.1
-
10
-
-
84944070277
-
-
A. Elgammal, D. Harwood, L.S. Davis, Non-parametric model for background subtraction, Sixth European Conference on Computer Vision, 2000, pp. 751-767.
-
-
-
-
11
-
-
84950000200
-
-
M. Harville, A framework for high-level feedback to adaptive, per-pixel, mixture-of-Gaussian background models, Seventh European Conference on Computer Vision, 2002, pp. 543-560.
-
-
-
-
12
-
-
35048831295
-
-
D. Kottow, M. Koppen, J. Ruiz-del-Solar, A background maintenance model in the spatial-range domain, Second Workshop on Statistical Methods in Video Processing, 2004, pp. 141-152.
-
-
-
-
13
-
-
5044221727
-
-
A. Mittal, N. Paragios, Motion-based background subtraction using adaptive kernel density estimation, Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, 2004, pp. 302-309.
-
-
-
-
14
-
-
85139271386
-
-
K. Toyama, et al., Wallflower: principles and practice of background maintenance, Seventh International Conference on Computer Vision, 1999, pp. 255-261.
-
-
-
-
15
-
-
21644463503
-
Real-time foreground-background segmentation using codebook model
-
Kim K., et al. Real-time foreground-background segmentation using codebook model. Real-Time Imaging 11 3 (2005) 172-185
-
(2005)
Real-Time Imaging
, vol.11
, Issue.3
, pp. 172-185
-
-
Kim, K.1
-
16
-
-
0041439660
-
-
M. Seki, T.F. Wada, H. Sumi, K. Background subtraction based on cooccurrence of image variations, Comput. Vision Pattern Recognition (2003) 65-72.
-
-
-
-
17
-
-
33750498833
-
-
N. Friedman, S. Russell, Image segmentation in video sequences: a probabilistic approach, Proceedings of the 13th Conference on Uncertainty in Artificial Intelligence, 1997, pp. 175-181.
-
-
-
-
18
-
-
84964316524
-
-
O. Javed, K. Shafique, M. Shah, A hierarchical approach to robust background subtraction using color and gradient information, IEEE Workshop Motion Video Comput. (2002) 22-27.
-
-
-
-
19
-
-
0019574599
-
Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography
-
Fischler M.A., and Rolles R.C. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun. ACM 24 6 (1981) 381-395
-
(1981)
Commun. ACM
, vol.24
, Issue.6
, pp. 381-395
-
-
Fischler, M.A.1
Rolles, R.C.2
-
20
-
-
11244317296
-
-
J. Connell, et al., Detection and tracking in the IBM peoplevision system, IEEE ICME (2004) 1403-1406.
-
-
-
-
21
-
-
33750523213
-
-
K.-P. Karmann, A.v. Brandt, Moving object recognition using and adaptive background memory, in: Time-Varying Image Processing and Moving Object Recognition, Elsevier, Amsterdam, 1990.
-
-
-
-
23
-
-
0034850450
-
-
A. Elgammal, L.S. Davis, Probabilistic framework for segmenting people under occlusion, Proceedings of the IEEE Eighth International Conference on Computer Vision, 2001, pp. 145-152.
-
-
-
-
24
-
-
33645307063
-
Background and foreground modeling using non-parametric kernel density estimation for visual surveillance
-
Elgammal A., et al. Background and foreground modeling using non-parametric kernel density estimation for visual surveillance. Proc. IEEE 90 7 (2002) 1151-1163
-
(2002)
Proc. IEEE
, vol.90
, Issue.7
, pp. 1151-1163
-
-
Elgammal, A.1
-
25
-
-
33750523399
-
-
S. Khan, M. Shah, Tracking people in presence of occlusion, Asian Conf. Comput. Vision (2000) 263-266.
-
-
-
-
26
-
-
0033098507
-
Tracking color objects using adaptive mixture models
-
McKenna S.J., Raja Y., and Gong S. Tracking color objects using adaptive mixture models. Image Vision Comput. 17 3 (1999) 225-231
-
(1999)
Image Vision Comput.
, vol.17
, Issue.3
, pp. 225-231
-
-
McKenna, S.J.1
Raja, Y.2
Gong, S.3
-
27
-
-
3543105519
-
A survey on visual surveillance of object motion and behaviors
-
Hu W., et al. A survey on visual surveillance of object motion and behaviors. IEEE Trans. Syst. Man Cybernetics-Part C 34 3 (2004) 334-352
-
(2004)
IEEE Trans. Syst. Man Cybernetics-Part C
, vol.34
, Issue.3
, pp. 334-352
-
-
Hu, W.1
-
28
-
-
0036522847
-
Recent developments in human motion analysis
-
Wang L., Hu W., and Tan T. Recent developments in human motion analysis. Pattern Recognition 36 3 (2003) 585-601
-
(2003)
Pattern Recognition
, vol.36
, Issue.3
, pp. 585-601
-
-
Wang, L.1
Hu, W.2
Tan, T.3
-
29
-
-
0442312138
-
Efficient kernel density estimation using the fast Gauss transform for computer vision
-
Elgammal A., Duraiswami R., and Davis L.S. Efficient kernel density estimation using the fast Gauss transform for computer vision. IEEE Trans. Pattern Anal. Mach. Intell. 25 11 (2003) 1499-1504
-
(2003)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.25
, Issue.11
, pp. 1499-1504
-
-
Elgammal, A.1
Duraiswami, R.2
Davis, L.S.3
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