-
3
-
-
33745944021
-
-
O. Boiman, M. Irani, Detecting irregularities in images and in video, in: IEEE International Conference on Computer Vision, 2005, pp. 462-469.
-
O. Boiman, M. Irani, Detecting irregularities in images and in video, in: IEEE International Conference on Computer Vision, 2005, pp. 462-469.
-
-
-
-
4
-
-
44449143724
-
-
H. Buxton, Generative models for learning and understanding dynamic scene activity, in: International Workshop on Generative Model Based Vision, 2002.
-
H. Buxton, Generative models for learning and understanding dynamic scene activity, in: International Workshop on Generative Model Based Vision, 2002.
-
-
-
-
5
-
-
0029386864
-
Visual surveillance in a dynamic and uncertain world
-
Buxton H., and Gong S. Visual surveillance in a dynamic and uncertain world. Artificial Intelligence 78 (1995) 431-459
-
(1995)
Artificial Intelligence
, vol.78
, pp. 431-459
-
-
Buxton, H.1
Gong, S.2
-
6
-
-
44449104468
-
-
H. Dee, D. Hogg, Detecting inexplicable behaviour, in: British Machine Vision Conference, 2004, pp. 477-486.
-
H. Dee, D. Hogg, Detecting inexplicable behaviour, in: British Machine Vision Conference, 2004, pp. 477-486.
-
-
-
-
8
-
-
33745164643
-
-
T. Duong, H. Bui, D. Phung, S. Venkatesh, Activity recognition and abnormality detection with the switching hidden semi-markov model, in: IEEE Conference on Computer Vision and Pattern Recognition, pages 838-845, 2005.
-
T. Duong, H. Bui, D. Phung, S. Venkatesh, Activity recognition and abnormality detection with the switching hidden semi-markov model, in: IEEE Conference on Computer Vision and Pattern Recognition, pages 838-845, 2005.
-
-
-
-
9
-
-
0002049440
-
Learning dynamic Bayesian networks
-
Adaptive Processing of Sequences and Data Structures. Giles C.L., and Gori M. (Eds), Springer-Verlag
-
Ghahramani Z. Learning dynamic Bayesian networks. In: Giles C.L., and Gori M. (Eds). Adaptive Processing of Sequences and Data Structures. Lecture Notes in Artificial Intelligence vol.1387 (1998), Springer-Verlag 168-197
-
(1998)
Lecture Notes in Artificial Intelligence
, vol.1387
, pp. 168-197
-
-
Ghahramani, Z.1
-
10
-
-
0344983339
-
-
S. Gong, T. Xiang, Recognition of group activities using dynamic probabilistic networks, in: IEEE International Conference on Computer Vision, 2003, pp. 742-749.
-
S. Gong, T. Xiang, Recognition of group activities using dynamic probabilistic networks, in: IEEE International Conference on Computer Vision, 2003, pp. 742-749.
-
-
-
-
11
-
-
33745140905
-
-
R. Hamid, A. Johnson, S. Batta, A. Bobick, C. Isbell, G. Coleman, Detection and explanation of anomalous activities: representing activities as bags of event n-grams, in: IEEE Conference on Computer Vision and Pattern Recognition, 2005, pp. 1031-1038.
-
R. Hamid, A. Johnson, S. Batta, A. Bobick, C. Isbell, G. Coleman, Detection and explanation of anomalous activities: representing activities as bags of event n-grams, in: IEEE Conference on Computer Vision and Pattern Recognition, 2005, pp. 1031-1038.
-
-
-
-
13
-
-
0024610919
-
A tutorial on hidden Markov models and selected applications in speech recognition
-
Rabiner L.R. A tutorial on hidden Markov models and selected applications in speech recognition. Proceedings of the IEEE 77 2 (1989) 257-286
-
(1989)
Proceedings of the IEEE
, vol.77
, Issue.2
, pp. 257-286
-
-
Rabiner, L.R.1
-
15
-
-
0002788893
-
A view of the EM algorithm that justifies incremental, sparse, and other variants
-
Jordan M.I. (Ed), Kluwer
-
Neal R., and Hinton G. A view of the EM algorithm that justifies incremental, sparse, and other variants. In: Jordan M.I. (Ed). Learning in Graphical Models (1998), Kluwer
-
(1998)
Learning in Graphical Models
-
-
Neal, R.1
Hinton, G.2
-
16
-
-
0000992663
-
On the use and interpretation of certain test criteria for purposes of statistical inference
-
Neyman J., and Pearson E.S. On the use and interpretation of certain test criteria for purposes of statistical inference. Biometrika 20A (1928) 263-294
-
(1928)
Biometrika
, vol.20 A
, pp. 263-294
-
-
Neyman, J.1
Pearson, E.S.2
-
17
-
-
23044533433
-
-
J. Ng, S. Gong, Learning intrinsic video content using levenshtein distance in graph partition, in: European Conference on Computer Vision, 2003, pp. 670-684.
-
J. Ng, S. Gong, Learning intrinsic video content using levenshtein distance in graph partition, in: European Conference on Computer Vision, 2003, pp. 670-684.
-
-
-
-
19
-
-
84951756001
-
A hidden markov model-based approach to sequential data clustering
-
Springer-Verlag, London, UK
-
Panuccio A., Bicego M., and Murino V. A hidden markov model-based approach to sequential data clustering. Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition (2002), Springer-Verlag, London, UK 734-742
-
(2002)
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
, pp. 734-742
-
-
Panuccio, A.1
Bicego, M.2
Murino, V.3
-
20
-
-
44449128711
-
-
F. Porikli, Trajectory distance metric using hidden markov model based representation, in: The Sixth IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, 2002.
-
F. Porikli, Trajectory distance metric using hidden markov model based representation, in: The Sixth IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, 2002.
-
-
-
-
21
-
-
0000120766
-
Estimating the dimension of a model
-
Schwarz G. Estimating the dimension of a model. Annals of Statistics 6 (1978) 461-464
-
(1978)
Annals of Statistics
, vol.6
, pp. 461-464
-
-
Schwarz, G.1
-
22
-
-
33745808621
-
-
V. Shet, D. Harwood, L. Davis, Multivalued default logic for identity maintenance in visual surveillance, in: European Conference on Computer Vision, vol. 4, 2006, pp. 119-132.
-
V. Shet, D. Harwood, L. Davis, Multivalued default logic for identity maintenance in visual surveillance, in: European Conference on Computer Vision, vol. 4, 2006, pp. 119-132.
-
-
-
-
24
-
-
44449104794
-
-
X. Wang, K. Tieu, E. Grimson, Learning semantic scene models by trajectory analysis, in: European Conference on Computer Vision, vol. 3, 2006, pp. 111-123.
-
X. Wang, K. Tieu, E. Grimson, Learning semantic scene models by trajectory analysis, in: European Conference on Computer Vision, vol. 3, 2006, pp. 111-123.
-
-
-
-
25
-
-
0025517070
-
-
J. Wilpon, L. Rabiner, C. Lee, E. Goldman, Automatic recognition of keywords in unconstrained speech using hidden markov models, IEEE Transactions on Acoustic, Speech and Signal Proceedings, 1990, pp. 1870-1878.
-
J. Wilpon, L. Rabiner, C. Lee, E. Goldman, Automatic recognition of keywords in unconstrained speech using hidden markov models, IEEE Transactions on Acoustic, Speech and Signal Proceedings, 1990, pp. 1870-1878.
-
-
-
-
26
-
-
44449105302
-
-
T. Xiang, S. Gong, D. Parkinson, Autonomous visual events detection and classification without explicit object-centred segmentation and tracking, in: British Machine Vision Conference, 2002, pp. 233-242.
-
T. Xiang, S. Gong, D. Parkinson, Autonomous visual events detection and classification without explicit object-centred segmentation and tracking, in: British Machine Vision Conference, 2002, pp. 233-242.
-
-
-
-
27
-
-
44449110337
-
-
T. Xiang, S. Gong, Activity based video content trajectory representation and segmentation, in: British Machine Vision Conference, 2004, pp. 177-186.
-
T. Xiang, S. Gong, Activity based video content trajectory representation and segmentation, in: British Machine Vision Conference, 2004, pp. 177-186.
-
-
-
-
28
-
-
33745901086
-
-
T. Xiang, S. Gong, Video behaviour profiling and abnormality detection without manual labelling, in: IEEE International Conference on Computer Vision, 2005, pp. 1238-1245.
-
T. Xiang, S. Gong, Video behaviour profiling and abnormality detection without manual labelling, in: IEEE International Conference on Computer Vision, 2005, pp. 1238-1245.
-
-
-
-
29
-
-
33644522380
-
Beyond tracking: modelling activity and understanding behaviour
-
Xiang T., and Gong S. Beyond tracking: modelling activity and understanding behaviour. International Journal of Computer Vision 67 1 (2006) 21-51
-
(2006)
International Journal of Computer Vision
, vol.67
, Issue.1
, pp. 21-51
-
-
Xiang, T.1
Gong, S.2
-
30
-
-
44449118729
-
-
T. Xiang, S. Gong, Incremental visual behaviour modelling, in: IEEE International Workshop on Visual Surveillance, 2006, pp. 65-72.
-
T. Xiang, S. Gong, Incremental visual behaviour modelling, in: IEEE International Workshop on Visual Surveillance, 2006, pp. 65-72.
-
-
-
-
31
-
-
0344551898
-
-
S. Yu, J. Shi, Multiclass spectral clustering, in: IEEE International Conference on Computer Vision, 2003, pp. 313-319.
-
S. Yu, J. Shi, Multiclass spectral clustering, in: IEEE International Conference on Computer Vision, 2003, pp. 313-319.
-
-
-
-
32
-
-
33745127418
-
-
D. Zhang, D. Gatica-Perez, S. Bengio, I. McCowan, Semi-supervised adapted HMMs for unusual event detection, in: IEEE Conference on Computer Vision and Pattern Recognition, 2005, pp. 611-618.
-
D. Zhang, D. Gatica-Perez, S. Bengio, I. McCowan, Semi-supervised adapted HMMs for unusual event detection, in: IEEE Conference on Computer Vision and Pattern Recognition, 2005, pp. 611-618.
-
-
-
-
33
-
-
5044228350
-
-
H. Zhong, J. Shi, M. Visontai, Detecting unusual activity in video, in: IEEE Conference on Computer Vision and Pattern Recognition, 2004, pp. 819-826.
-
H. Zhong, J. Shi, M. Visontai, Detecting unusual activity in video, in: IEEE Conference on Computer Vision and Pattern Recognition, 2004, pp. 819-826.
-
-
-
|