-
1
-
-
0036475447
-
A tutorial on particle filters for on-line nonlinear/non-Gaussian Bayesian tracking
-
Feb.
-
S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp, "A tutorial on particle filters for on-line nonlinear/non-Gaussian Bayesian tracking," IEEE Trans. Signal Process., vol.50, no.2, pp. 174-188, Feb. 2002.
-
(2002)
IEEE Trans. Signal Process.
, vol.50
, Issue.2
, pp. 174-188
-
-
Arulampalam, S.1
Maskell, S.2
Gordon, N.3
Clapp, T.4
-
2
-
-
0036475447
-
A tutorial on particle filters for on-line nonlinear/ non-Gaussian Bayesian Tracking
-
Feb.
-
S. Maskell and N. Gordon, "A tutorial on particle filters for on-line nonlinear/ non-Gaussian Bayesian Tracking," IEEE Trans. Signal Process., vol.50, no.2, pp. 174-188, Feb. 2001.
-
(2001)
IEEE Trans. Signal Process.
, vol.50
, Issue.2
, pp. 174-188
-
-
Maskell, S.1
Gordon, N.2
-
3
-
-
24644524181
-
Kernel-based Bayesian filtering for object tracking
-
B. Han, Y. Zhu, D. Comaniciu, and L. Davis, "Kernel-based Bayesian filtering for object tracking," in Proc. IEEE Computer Society Conf. Computer Vision and Pattern Recognition, 2005, pp. 227-234.
-
(2005)
Proc. IEEE Computer Society Conf. Computer Vision and Pattern Recognition
, pp. 227-234
-
-
Han, B.1
Zhu, Y.2
Comaniciu, D.3
Davis, L.4
-
4
-
-
0012937447
-
Mode-finding for mixtures of Gaussian distributions
-
Nov.
-
M. A. Carreira-Perpinan, "Mode-finding for mixtures of Gaussian distributions," IEEE Trans. Pattern Anal. Mach. Intell., vol.22, no.11, pp. 1318-1323, Nov. 2000.
-
(2000)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.22
, Issue.11
, pp. 1318-1323
-
-
Carreira-Perpinan, M.A.1
-
5
-
-
0032627094
-
A multiple hypothesis approach to figure tracking
-
Fort Collins, CO
-
T. Cham and J. M. Rehg, "A multiple hypothesis approach to figure tracking," in Proc. IEEE Conf. Computer Vision Pattern Recognition, Fort Collins, CO, 1999, vol.II, pp. 239-245.
-
(1999)
Proc. IEEE Conf. Computer Vision Pattern Recognition
, vol.2
, pp. 239-245
-
-
Cham, T.1
Rehg, J.M.2
-
7
-
-
0001460136
-
On sequential Monte Carlo sampling methods for Bayesian filtering
-
Jul.
-
A. Doucet, S. Godsill, and C. Andrieu, "On sequential Monte Carlo sampling methods for Bayesian filtering," Statist. Comput., vol.10, pp. 197-208, Jul. 2000.
-
(2000)
Statist. Comput.
, vol.10
, pp. 197-208
-
-
Doucet, A.1
Godsill, S.2
Andrieu, C.3
-
9
-
-
0027580559
-
Novel approach to nonlinear/non-Gaussian Bayesian state estimation
-
Apr.
-
N. J. Gordon, D. J. Salmon, and A. F. M. Smith, "Novel approach to nonlinear/non-Gaussian Bayesian state estimation," Radar Signal Process., IEE Proc. F, vol.140, no.2, pp. 107-113, Apr. 1993.
-
(1993)
Radar Signal Process., IEE Proc. F
, vol.140
, Issue.2
, pp. 107-113
-
-
Gordon, N.J.1
Salmon, D.J.2
Smith, A.F.M.3
-
10
-
-
0032221057
-
Monte Carlo approximations for general state space models
-
Jun.
-
M. Hurzeler and H. R. Kunsch, "Monte Carlo approximations for general state space models," J. Comput. Graph. Statist., vol.7, pp. 175-193, Jun. 1998.
-
(1998)
J. Comput. Graph. Statist.
, vol.7
, pp. 175-193
-
-
Hurzeler, M.1
Kunsch, H.R.2
-
11
-
-
0032136153
-
CONDENSATION-conditional density propagation for visual tracking
-
Aug.
-
M. Isard and A. Blake, "CONDENSATION-conditional density propagation for visual tracking," Int. J. Comput. Vis., vol.29, no.1, Aug. 1998.
-
(1998)
Int. J. Comput. Vis.
, vol.29
, Issue.1
-
-
Isard, M.1
Blake, A.2
-
12
-
-
84957655116
-
ICONDENSATION: Unifying low-level and high-level tracking in a stochastic framework
-
Jan.
-
M. Isard and A. Blake, "ICONDENSATION: Unifying low-level and high-level tracking in a stochastic framework," Lect. Notes Comput. Sci., vol.1406, p. 893, Jan. 1998.
-
(1998)
Lect. Notes Comput. Sci.
, vol.1406
, pp. 893
-
-
Isard, M.1
Blake, A.2
-
13
-
-
85024429815
-
A new approach to linear filtering and prediction problems
-
R. E. Kalman, "A new approach to linear filtering and prediction problems," Trans. ASME, J. Basic Eng., pp. 35-45, 1960.
-
(1960)
Trans. ASME, J. Basic Eng.
, pp. 35-45
-
-
Kalman, R.E.1
-
14
-
-
0000978881
-
A theoretical framework for sequential importance sampling and resampling
-
New York: Springer-Verlag
-
J. S. Liu, R. Chen, and T. Logvinenko, "A theoretical framework for sequential importance sampling and resampling," in Sequential Monte Carlo Methods in Practice. New York: Springer-Verlag, 2001.
-
(2001)
Sequential Monte Carlo Methods in Practice
-
-
Liu, J.S.1
Chen, R.2
Logvinenko, T.3
-
15
-
-
0942266514
-
Support vector data description
-
D. M. J. Tax and R. P. W. Duin, "Support vector data description," Mach. Learn., vol.54, pp. 45-66, 1999.
-
(1999)
Mach. Learn.
, vol.54
, pp. 45-66
-
-
Tax, D.M.J.1
Duin, R.P.W.2
-
16
-
-
0013314147
-
Support vector data description applied to machine vibration analysis
-
M. Boasson, J. Kaandorp, J. Tonino, and M. Vosselman, Eds.
-
D. M. J. Tax, A. Ypma, and R. P. W. Duin, M. Boasson, J. Kaandorp, J. Tonino, and M. Vosselman, Eds., "Support vector data description applied to machine vibration analysis," in Proc. 5th Annu. Conf. Advc. School for Computing and Imaging, 1999, pp. 398-405.
-
(1999)
Proc. 5th Annu. Conf. Advc. School for Computing and Imaging
, pp. 398-405
-
-
Tax, D.M.J.1
Ypma, A.2
Duin, R.P.W.3
-
18
-
-
0345414510
-
Maintaining multi-modality through mixture tracking
-
Nice, Oct.
-
J. Vermaak, A. Doucet, and P. Perez, "Maintaining multi-modality through mixture tracking," in Proc. IEEE Int. Conf. Computer Vision, Nice, Oct. 2003, pp. 1110-1116.
-
(2003)
Proc. IEEE Int. Conf. Computer Vision
, pp. 1110-1116
-
-
Vermaak, J.1
Doucet, A.2
Perez, P.3
-
20
-
-
7444266896
-
Visual tracking and recognition: Using appearance-adaptive models in particle filters
-
Nov.
-
S. K. Zhou, R. Chellappa, and B. Moghaddam, "Visual tracking and recognition: Using appearance-adaptive models in particle filters," IEEE Trans. Image Process., vol.13, no.11, Nov. 2004.
-
(2004)
IEEE Trans. Image Process.
, vol.13
, Issue.11
-
-
Zhou, S.K.1
Chellappa, R.2
Moghaddam, B.3
-
21
-
-
9644278076
-
Structure from motion using sequential Monte Carlo methods
-
G. Qian and R. Chellappa, "Structure from motion using sequential Monte Carlo methods," Int. J. Comput. Vis., vol.59, pp. 5-31, 2004.
-
(2004)
Int. J. Comput. Vis.
, vol.59
, pp. 5-31
-
-
Qian, G.1
Chellappa, R.2
-
22
-
-
0001873884
-
Support Vector Density Estimation
-
Cambridge, MA: MIT Press
-
J. Weston et al., "Support Vector Density Estimation," in Advances in Kernel Methods. Cambridge, MA: MIT Press, 1998.
-
(1998)
Advances in Kernel Methods
-
-
Weston, J.1
-
24
-
-
0001224048
-
Sparse Bayesian learning and the relevance vector machine
-
M. E. Tipping, "Sparse Bayesian learning and the relevance vector machine," J. Mach. Learn. Res., vol.1, pp. 211-244, 2001.
-
(2001)
J. Mach. Learn. Res.
, vol.1
, pp. 211-244
-
-
Tipping, M.E.1
-
25
-
-
0033697160
-
Articulated body motion capture by annealed particle filtering
-
J. Deutcher, A. Blake, and I. Reid, "Articulated body motion capture by annealed particle filtering," in Proc. IEEE Conf. Computer Vision Pattern Recognition, 2000, vol.II, pp. 126-133.
-
(2000)
Proc. IEEE Conf. Computer Vision Pattern Recognition
, vol.2
, pp. 126-133
-
-
Deutcher, J.1
Blake, A.2
Reid, I.3
-
26
-
-
0034857313
-
People tracking using hybrid Monte Carlo filtering
-
K. Choo and D. Fleet, "People tracking using hybrid Monte Carlo filtering," in Proc. IEEE Int. Conf. Computer Vision, 2001, vol.II, pp. 321-328.
-
(2001)
Proc. IEEE Int. Conf. Computer Vision
, vol.2
, pp. 321-328
-
-
Choo, K.1
Fleet, D.2
-
27
-
-
1542427941
-
Filtering vis simulation: Auxiliary particel filters
-
M. Pitt and N. Shephard, "Filtering vis simulation: Auxiliary particel filters," J. Amer. Statist. Assoc., pp. 590-599, 1999.
-
(1999)
J. Amer. Statist. Assoc.
, pp. 590-599
-
-
Pitt, M.1
Shephard, N.2
-
28
-
-
69649095329
-
Comparison of Kernel based PDF estimation methods
-
D. Freund, P. Burlina, A. Banerjee, and E. Justin, "Comparison of Kernel based PDF estimation methods," Proc. SPIE 2009, 733509.
-
(2009)
Proc. SPIE
, pp. 733509
-
-
Freund, D.1
Burlina, P.2
Banerjee, A.3
Justin, E.4
-
29
-
-
0003345004
-
Improving regularised particle filters
-
A. Doucet, J. F. G. deFreitas, and N. J. Gordon, Eds. New York: Springer-Verlag
-
C. Musso, N. Oudjane, and F. LeGland, "Improving regularised particle filters," in Monte Carlo Methods in Practice, A. Doucet, J. F. G. deFreitas, and N. J. Gordon, Eds. New York: Springer-Verlag, 2001.
-
(2001)
Monte Carlo Methods in Practice
-
-
Musso, C.1
Oudjane, N.2
Le Gland, F.3
-
31
-
-
0031334889
-
Improved training algorithm for support vector machines
-
E. Osuna, R. Freund, and F. Girosi, "Improved training algorithm for support vector machines," in Proc. IEEE Workshop Neural Networks for Signal Processing, 1997, pp. 276-285.
-
(1997)
Proc. IEEE Workshop Neural Networks for Signal Processing
, pp. 276-285
-
-
Osuna, E.1
Freund, R.2
Girosi, F.3
-
34
-
-
0141714748
-
Maximum a posteriori sequence estimation using Monte Carlo particle filters
-
S. J. Godsill, A. Doucet, and M.West, "Maximum a posteriori sequence estimation using Monte Carlo particle filters," Ann. Inst. Statist. Math., vol.53, no.1, pp. 82-96, 2001.
-
(2001)
Ann. Inst. Statist. Math.
, vol.53
, Issue.1
, pp. 82-96
-
-
Godsill, S.J.1
Doucet, A.2
West, M.3
-
35
-
-
33745968924
-
Improving particle filter with support vector regression for efficient visual tracking
-
G. Zhu, D. Liang, Y. Liu, Q. Huang, and W. Gao, "Improving particle filter with support vector regression for efficient visual tracking," in Proc. IEEE Int. Conf. Image Processing, 2005, vol.II, pp. 422-425.
-
(2005)
Proc. IEEE Int. Conf. Image Processing
, vol.2
, pp. 422-425
-
-
Zhu, G.1
Liang, D.2
Liu, Y.3
Huang, Q.4
Gao, W.5
-
36
-
-
44649107771
-
An overview of existing methods and recent advances in sequential Monte Carlo
-
May
-
O. Cappe, S. J. Godsill, and E. Moulines, "An overview of existing methods and recent advances in sequential Monte Carlo," Proc. IEEE, vol.95, no.5, pp. 899-924, May 2007.
-
(2007)
Proc. IEEE
, vol.95
, Issue.5
, pp. 899-924
-
-
Cappe, O.1
Godsill, S.J.2
Moulines, E.3
-
37
-
-
77955811753
-
A tutorial on particle filtering and smoothing: Fiteen years later
-
D. Crisan and B. Rozovsky, Eds. London, U.K.: Oxford Univ. Press, preprint
-
A. Doucet and A. M. Johansen, "A tutorial on particle filtering and smoothing: Fiteen years later," in The Oxford Handbook of Nonlinear Filtering, D. Crisan and B. Rozovsky, Eds. London, U.K.: Oxford Univ. Press, 2009, preprint.
-
(2009)
The Oxford Handbook of Nonlinear Filtering
-
-
Doucet, A.1
Johansen, A.M.2
-
38
-
-
14644418464
-
Kernel particle filter for visual tracking
-
DOI 10.1109/LSP.2004.842254
-
C. Chang and R. Ansari, "Kernel particle filter for visual tracking," Signal Process. Lett., vol.12, no.3, pp. 242-245, 2005. (Pubitemid 40319400)
-
(2005)
IEEE Signal Processing Letters
, vol.12
, Issue.3
, pp. 242-245
-
-
Chang, C.1
Ansari, R.2
|