-
1
-
-
0036475447
-
A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking
-
M. S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp. A tutorial on particle filters for online nonlinear/non-gaussian bayesian tracking. IEEE TIP, 50(2):174-188, 2002.
-
(2002)
IEEE TIP
, vol.50
, Issue.2
, pp. 174-188
-
-
Arulampalam, M.S.1
Maskell, S.2
Gordon, N.3
Clapp, T.4
-
2
-
-
77953137696
-
Visual object tracking in 3d with color based particle filter
-
P. Barrera, J. M. Cans, and V. Matelln. Visual object tracking in 3d with color based particle filter. In Proc. of world academy of science, Eng. and Tech., Volume 4, 2005.
-
(2005)
Proc. of World Academy of Science, Eng. and Tech.
, vol.4
-
-
Barrera, P.1
Cans, J.M.2
Matelln, V.3
-
3
-
-
0033682434
-
Real-time tracking of non-rigid objects using mean shift
-
D. Comaniciu, V. Ramesh, and P. Meer. Real-time tracking of non-rigid objects using mean shift. In Proc. Conf. on Comp. Vision Pattern Rec., Volume 2, pages 142-149, 2000.
-
(2000)
Proc. Conf. on Comp. Vision Pattern Rec.
, vol.2
, pp. 142-149
-
-
Comaniciu, D.1
Ramesh, V.2
Meer, P.3
-
5
-
-
84944075004
-
A unifying theory for Central panoramic systems and practical applications
-
C. Geyer and K. Daniilidis. A unifying theory for central panoramic systems and practical applications. In IEEE CVPR, pages 445-461. 2000.
-
(2000)
IEEE CVPR
, pp. 445-461
-
-
Geyer, C.1
Daniilidis, K.2
-
6
-
-
0002433921
-
Tracking with rigid models
-
chapter 4
-
C. Harris. Tracking with rigid models. In Active Vision, chapter 4, pages 59-73. 1992.
-
(1992)
Active Vision
, pp. 59-73
-
-
Harris, C.1
-
7
-
-
0032136153
-
Condensation: Conditional density propagation for visual tracking
-
M. Isard and A. Blake. Condensation: conditional density propagation for visual tracking. Int. Journal of Computer Vision, 28(1):5-28, 1998.
-
(1998)
Int. Journal of Computer Vision
, vol.28
, Issue.1
, pp. 5-28
-
-
Isard, M.1
Blake, A.2
-
8
-
-
0348132942
-
A new extension of the Kalman filter to non-linear systems
-
S. Julier and J. Uhlmann. A new extension of the kalman filter to non-linear systems. In Proc. of Aerosense, 1997.
-
(1997)
Proc. of Aerosense
-
-
Julier, S.1
Uhlmann, J.2
-
9
-
-
84898022722
-
Full-3d edge tracking with a particle filter
-
Edinburgh, Scotland
-
G. Klein and D. Murray. Full-3d edge tracking with a particle filter. In Proc. of BMVC 2006, page III:1119, Edinburgh, Scotland, 2006.
-
(2006)
Proc. of BMVC 2006
, vol.3
, pp. 1119
-
-
Klein, G.1
Murray, D.2
-
11
-
-
0001341735
-
Introduction to Monte Carlo methods
-
M. I. Jordan, editor Kluwer Academic Press
-
D. MacKay. Introduction to Monte Carlo methods. In M. I. Jordan, editor, Learning in Graphical Models, pages 175-204. Kluwer Academic Press, 1998.
-
(1998)
Learning in Graphical Models
, pp. 175-204
-
-
MacKay, D.1
-
12
-
-
40949098243
-
Learning object affordances: From sensory motor maps to imitation
-
L. Montesano, M. Lopes, A. Bernardino, and J. Santos-Victor. Learning object affordances: From sensory motor maps to imitation. IEEE Transactions on Robotics, Special Issue on Bio-Robotics, 24(1):15-26, 2008.
-
(2008)
IEEE Transactions on Robotics, Special Issue on Bio-Robotics
, vol.24
, Issue.1
, pp. 15-26
-
-
Montesano, L.1
Lopes, M.2
Bernardino, A.3
Santos-Victor, J.4
-
13
-
-
35048849881
-
A boosted particle filter: Multitarget detection and tracking
-
K. Okuma, A. Taleghani, N. de Freitas, J. J. Little, and D. G. Lowe. A boosted particle filter: Multitarget detection and tracking. In Proc. ECCV, pages 28-39, 2004.
-
(2004)
Proc. ECCV
, pp. 28-39
-
-
Okuma, K.1
Taleghani, A.2
De Freitas, N.3
Little, J.J.4
Lowe, D.G.5
-
14
-
-
13344250690
-
Data fusion for visual tracking with particles
-
P. Pérez, J. Vermaak, and A. Blake. Data fusion for visual tracking with particles. Proc. of the IEEE, 92(3):495-513, 2004.
-
(2004)
Proc. of the IEEE
, vol.92
, Issue.3
, pp. 495-513
-
-
Pérez, P.1
Vermaak, J.2
Blake, A.3
-
15
-
-
34047231512
-
Real-time camera tracking using known 3d models and a particle filter
-
Hong Kong
-
M. Pupilli and A. Calway. Real-time camera tracking using known 3d models and a particle filter. In Proc. of ICPR (1), pages 199-203, Hong Kong, 2006.
-
(2006)
Proc. of ICPR (1)
, pp. 199-203
-
-
Pupilli, M.1
Calway, A.2
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