-
1
-
-
34047209295
-
Hidden markov models for optical flow analysis in crowds
-
Andrade, E. L., Blunsden, S., and Fisher, R. B. (2006). Hidden markov models for optical flow analysis in crowds. In International Conference on Pattern Recognition (ICPR), volume 1, pages 460-463.
-
(2006)
International Conference on Pattern Recognition (ICPR)
, vol.1
, pp. 460-463
-
-
Andrade, E.L.1
Blunsden, S.2
Fisher, R.B.3
-
2
-
-
84964055715
-
Performance of optical flow techniques
-
Barron, J., Fleet, D., Beauchemin, S., and Burkitt, T. (1992). Performance of optical flow techniques. Computer Vision and Pattern Recognition (CVPR), 92:236-242.
-
(1992)
Computer Vision and Pattern Recognition (CVPR)
, vol.92
, pp. 236-242
-
-
Barron, J.1
Fleet, D.2
Beauchemin, S.3
Burkitt, T.4
-
3
-
-
0029772518
-
The robust estimation of multiple motions: Parametric and piecewise-smooth flow fields
-
Black, M. J. and Anandan, P. (1996). The robust estimation of multiple motions: parametric and piecewise-smooth flow fields. Computer Vision and Image Understanding (CVIU), 63(1):75-104.
-
(1996)
Computer Vision and Image Understanding (CVIU)
, vol.63
, Issue.1
, pp. 75-104
-
-
Black, M.J.1
Anandan, P.2
-
5
-
-
33845582996
-
-
Brostow, G. j. and Cipolla, R. (2006). Unsupervised bayesian detection of independant motion in crowds. In Computer Vision and Pattern Recognition (CVPR).
-
Brostow, G. j. and Cipolla, R. (2006). Unsupervised bayesian detection of independant motion in crowds. In Computer Vision and Pattern Recognition (CVPR).
-
-
-
-
6
-
-
27144489164
-
A tutorial on support vector machines for pattern recognition
-
Burges, C. J. C. (1998). A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2:121-167.
-
(1998)
Data Mining and Knowledge Discovery
, vol.2
, pp. 121-167
-
-
Burges, C.J.C.1
-
7
-
-
50649110516
-
Fast crowd segmentation using shape indexing
-
Dong, L., Parameswaran, V., Ramesh, V., and Zoghlami, I. (2007). Fast crowd segmentation using shape indexing. In International Conference on Computer Vision (ICCV).
-
(2007)
International Conference on Computer Vision (ICCV)
-
-
Dong, L.1
Parameswaran, V.2
Ramesh, V.3
Zoghlami, I.4
-
11
-
-
45349101870
-
Sequential kernel density approximation and its application to real-time visual tracking
-
Han, B., Comaniciu, D., Zhu, Y., and Davis, L. S. (2008). Sequential kernel density approximation and its application to real-time visual tracking. Pattern Analysis and Machine Intelligence, 30:1186-1197.
-
(2008)
Pattern Analysis and Machine Intelligence
, vol.30
, pp. 1186-1197
-
-
Han, B.1
Comaniciu, D.2
Zhu, Y.3
Davis, L.S.4
-
13
-
-
33746576905
-
A system for learning statistical motion patterns
-
Hu, W., Xiao, X., Fu, Z., Xie, D., Tan, T., and Maybank, S. (2006). A system for learning statistical motion patterns. IEEE Pattern Analysis And Machine Intelligence, 28:1450-1464.
-
(2006)
IEEE Pattern Analysis And Machine Intelligence
, vol.28
, pp. 1450-1464
-
-
Hu, W.1
Xiao, X.2
Fu, Z.3
Xie, D.4
Tan, T.5
Maybank, S.6
-
16
-
-
0001238044
-
Determination of optical flow and its discontinuities using non-linear diffusion
-
Proesmans, M., Gool, L. V., Pauwels, E., and Oosterlinck, A. (1994). Determination of optical flow and its discontinuities using non-linear diffusion. In European Conference on Computer Vision (ECCV).
-
(1994)
European Conference on Computer Vision (ECCV)
-
-
Proesmans, M.1
Gool, L.V.2
Pauwels, E.3
Oosterlinck, A.4
-
21
-
-
0001224048
-
Sparse bayesian learning and the relevance vector machine
-
Tipping, M. E. (2001). Sparse bayesian learning and the relevance vector machine. Journal of Machine Learning Reasearch 1.
-
(2001)
Journal of Machine Learning Reasearch
, vol.1
-
-
Tipping, M.E.1
-
22
-
-
33746377916
-
-
Velastin, S. A., Boghossian, B. A., and Vicencio-Silva, M. A. (2006). A motion-based image processing system for detecting potentielly dangerous situations in underground railway stations. Transportation Research Part C: Emerging Technologies, 14.
-
Velastin, S. A., Boghossian, B. A., and Vicencio-Silva, M. A. (2006). A motion-based image processing system for detecting potentielly dangerous situations in underground railway stations. Transportation Research Part C: Emerging Technologies, 14.
-
-
-
|