-
1
-
-
0036475447
-
A tutorial on particles filters for online nonlinear/non-gaussian bayesian tracking
-
Arulampalam, M., Maskell, S., Gordon, N., & Clapp, T. (2002). A tutorial on particles filters for online nonlinear/non-gaussian bayesian tracking. IEEE Transactions on Signal Processing, 50(2), 174–188.
-
(2002)
IEEE Transactions on Signal Processing
, vol.50
, Issue.2
, pp. 174-188
-
-
Arulampalam, M.1
Maskell, S.2
Gordon, N.3
Clapp, T.4
-
4
-
-
79959527478
-
Robust object tracking with online multiple instance learning
-
Babenko, B., Yang, M., & Belongie, S. (2011). Robust object tracking with online multiple instance learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(8), 1619C1632.
-
(2011)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.33
, Issue.8
, pp. 1632
-
-
Babenko, B.1
Yang, M.2
Belongie, S.3
-
5
-
-
0031651559
-
EigenTracking: Robust matching and tracking of articulated objects using a view-based representation
-
Black, M. J., & Jepson, A. D. (2004). EigenTracking: Robust matching and tracking of articulated objects using a view-based representation. International Journal of Computer Vision, 26(1), 63–84.
-
(2004)
International Journal of Computer Vision
, vol.26
, Issue.1
, pp. 63-84
-
-
Black, M.J.1
Jepson, A.D.2
-
6
-
-
33845293747
-
Fast stochastic optimization for articulated structure tracking
-
Bray, M., Meier, E. K., Schraudolph, N. N., & Gool, L. V. (2007). Fast stochastic optimization for articulated structure tracking. Image and Vision Computing, 25(3), 352–364.
-
(2007)
Image and Vision Computing
, vol.25
, Issue.3
, pp. 352-364
-
-
Bray, M.1
Meier, E.K.2
Schraudolph, N.N.3
Gool, L.V.4
-
7
-
-
70350353527
-
Ultra-scale vehicle tracking in low spatial resolution and low frame-rate overhead video
-
Carrano, C. J. (2009). Ultra-scale vehicle tracking in low spatial resolution and low frame-rate overhead video. Proceedings of SPIE, 7445, 744504.
-
(2009)
Proceedings of SPIE
, vol.7445
, pp. 744504
-
-
Carrano, C.J.1
-
9
-
-
27644528380
-
Online selection of discriminative tracking features
-
Collins, R., Liu, Y., & Leordeanu, M. (2005). Online selection of discriminative tracking features. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(10), 1631C1643.
-
(2005)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.27
, Issue.10
, pp. 163
-
-
Collins, R.1
Liu, Y.2
Leordeanu, M.3
-
10
-
-
0038633569
-
Kernel-based object tracking
-
Comaniciu, D., Ramesh, V., & Meer, P. (2003). Kernel-based object tracking. IEEE Transaction on Pattern Analysis and Machine Intelligence, 25(5), 234–240.
-
(2003)
IEEE Transaction on Pattern Analysis and Machine Intelligence
, vol.25
, Issue.5
, pp. 234-240
-
-
Comaniciu, D.1
Ramesh, V.2
Meer, P.3
-
11
-
-
0033697160
-
Articulated body motion capture by annealed particle filtering
-
Deutscher, J., Blake, A., & Reid, I. (2000). Articulated body motion capture by annealed particle filtering. In: Proceeding of IEEE Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 126–133.
-
(2000)
Proceeding of IEEE Conference on Computer Vision and Pattern Recognition
, vol.2
, pp. 126-133
-
-
Deutscher, J.1
Blake, A.2
Reid, I.3
-
12
-
-
0001460136
-
On sequential Monte Carlo sampling methods for Bayesian filtering
-
Doucet, A., Godsill, S., & Andrieu, C. (2000). On sequential Monte Carlo sampling methods for Bayesian filtering. Statist. Comput., 10(3), 197–208.
-
(2000)
Statist. Comput.
, vol.10
, Issue.3
, pp. 197-208
-
-
Doucet, A.1
Godsill, S.2
Andrieu, C.3
-
13
-
-
0000979403
-
Sequential Monte Carlo methods to train neural network models
-
Freitas, D., Niranjan, M. A., Gee, A. H., & Doucet, A. (2000). Sequential Monte Carlo methods to train neural network models. Neural Computation, 12(4), 955–993.
-
(2000)
Neural Computation
, vol.12
, Issue.4
, pp. 955-993
-
-
Freitas, D.1
Niranjan, M.A.2
Gee, A.H.3
Doucet, A.4
-
14
-
-
0016421071
-
The estimation of the gradient of a density function, with applications in pattern recognition
-
Fukunaga, K., & Hostetler, L. (1975). The estimation of the gradient of a density function, with applications in pattern recognition. IEEE Transactions on Information Theory, 21(1), 32–40.
-
(1975)
IEEE Transactions on Information Theory
, vol.21
, Issue.1
, pp. 32-40
-
-
Fukunaga, K.1
Hostetler, L.2
-
15
-
-
84898020313
-
Real-time tracking via on-line boosting
-
Grabner, H., Grabner, M., & Bischof, H. (2006). Real-time tracking via on-line boosting. In: Proceedings of British Machine Vision Conference, vol. 1, pp. 46–56.
-
(2006)
Proceedings of British Machine Vision Conference
, vol.1
, pp. 46-56
-
-
Grabner, H.1
Grabner, M.2
Bischof, H.3
-
16
-
-
56749152262
-
Semi-supervised on-line boosting for robust tracking. In: Proceedings of European Conference on Computer Vision, pp
-
Grabner, H., Grabner, M., & Bischof, H. (2008). Semi-supervised on-line boosting for robust tracking. In: Proceedings of European Conference on Computer Vision, pp. 234–247.
-
(2008)
234–247
-
-
Grabner, H.1
Grabner, M.2
Bischof, H.3
-
17
-
-
0032179948
-
Efficient region tracking with parametric models of geometry and illumination
-
Hager, G. D., & Belhumeur, P. N. (1998). Efficient region tracking with parametric models of geometry and illumination. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(10), 1025–1039.
-
(1998)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.20
, Issue.10
, pp. 1025-1039
-
-
Hager, G.D.1
Belhumeur, P.N.2
-
18
-
-
84867787204
-
Single and multiple object tracking using log-euclidean riemannian subspace and block-division appearance model
-
Hu, W., Li, X., Luo, W., Zhang, X., Maybank, S., & Zhang, Z. (2012). Single and multiple object tracking using log-euclidean riemannian subspace and block-division appearance model. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(12), 2420–2440.
-
(2012)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.34
, Issue.12
, pp. 2420-2440
-
-
Hu, W.1
Li, X.2
Luo, W.3
Zhang, X.4
Maybank, S.5
Zhang, Z.6
-
20
-
-
0032136153
-
Condensation: Conditional density propagation for visual tracking
-
Isard, M., & Blake, A. (1998). Condensation: Conditional density propagation for visual tracking. International Journal of Computer Vision, 29(1), 5–28.
-
(1998)
International Journal of Computer Vision
, vol.29
, Issue.1
, pp. 5-28
-
-
Isard, M.1
Blake, A.2
-
21
-
-
0142134976
-
Robust online appearance models for visual tracking
-
Jepson, A. D., Fleet, D. J., & El-Maraghi, T. F. (2003). Robust online appearance models for visual tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(10), 1296–1311.
-
(2003)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.25
, Issue.10
, pp. 1296-1311
-
-
Jepson, A.D.1
Fleet, D.J.2
El-Maraghi, T.F.3
-
22
-
-
34250090755
-
Snakes: Active contour models
-
Kass, M., Witkin, A., & Terzopoulos, D. (1988). Snakes: Active contour models. International Journal of Computer Vision, 1(4), 321–332.
-
(1988)
International Journal of Computer Vision
, vol.1
, Issue.4
, pp. 321-332
-
-
Kass, M.1
Witkin, A.2
Terzopoulos, D.3
-
23
-
-
0029535737
-
Particle swarm optimization. In: Proceeding of International Conference on Neural Networks, pp
-
Kennedy, J., & Eberhart, R. (1995). Particle swarm optimization. In: Proceeding of International Conference on Neural Networks, pp. 1942–1948.
-
(1995)
1942–1948
-
-
Kennedy, J.1
Eberhart, R.2
-
25
-
-
0034247885
-
Sequential Karhunen–Loeve basis extraction and its application to images
-
Levy, A., & Lindenbaum, M. (2000). Sequential Karhunen–Loeve basis extraction and its application to images. IEEE Transactions on Image Processing, 9(8), 1371–1374.
-
(2000)
IEEE Transactions on Image Processing
, vol.9
, Issue.8
, pp. 1371-1374
-
-
Levy, A.1
Lindenbaum, M.2
-
26
-
-
50249113689
-
Tracking in low frame rate video: A cascade particle filter with discriminative observers of different lifespans
-
Li, Y., Ai, H., Yamashita, T., Lao, S., & Kawade, M. (2008). Tracking in low frame rate video: A cascade particle filter with discriminative observers of different lifespans. IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(10), 1728–1740.
-
(2008)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.30
, Issue.10
, pp. 1728-1740
-
-
Li, Y.1
Ai, H.2
Yamashita, T.3
Lao, S.4
Kawade, M.5
-
27
-
-
33749596790
-
Incremental learning for visual tracking
-
Lim, J., Ross, D., Lin, R. S., & Yang, M. H. (2004). Incremental learning for visual tracking. In Advances in Neural Information Processing Systems, pp. 793–800.
-
(2004)
In Advances in Neural Information Processing Systems
, pp. 793-800
-
-
Lim, J.1
Ross, D.2
Lin, R.S.3
Yang, M.H.4
-
28
-
-
34948869469
-
Adaptive discriminative generative model and its applications
-
Lin, R. S., Ross, D., Lim, J., & Yang, M. H. (2004). Adaptive discriminative generative model and its applications. In Advances in Neural Information Processing Systems pp. 801–808
-
(2004)
In Advances in Neural Information Processing Systems
, pp. 801-808
-
-
Lin, R.S.1
Ross, D.2
Lim, J.3
Yang, M.H.4
-
29
-
-
0004286947
-
The unscented particle filter
-
Cambridge: Cambridge University Engineering Department
-
Merwe, R., Doucet, A., Freitas, N., & Wan, E. (2000). The unscented particle filter. Technical Report CUED/F-INFENG/TR 380. Cambridge: Cambridge University Engineering Department.
-
(2000)
Technical Report CUED/F-INFENG/TR 380
-
-
Merwe, R.1
Doucet, A.2
Freitas, N.3
Wan, E.4
-
30
-
-
0037428077
-
An adaptive color-based particle filter
-
Nummiaro, K., Meier, E., & Gool, L. (2003). An adaptive color-based particle filter. Image and Vision Computing, 21(1), 99–110.
-
(2003)
Image and Vision Computing
, vol.21
, Issue.1
, pp. 99-110
-
-
Nummiaro, K.1
Meier, E.2
Gool, L.3
-
31
-
-
0041939837
-
A new graph-theoretic approach to clustering and segmentation. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp
-
Pavan, M., & Pelillo, M. (2003). A new graph-theoretic approach to clustering and segmentation. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 3895–3900.
-
(2003)
3895–3900
-
-
Pavan, M.1
Pelillo, M.2
-
33
-
-
1542427941
-
Filtering via simulation: Auxiliary particle filters
-
Pitt, M. K., & Shephard, N. (1999). Filtering via simulation: Auxiliary particle filters. Journal of the American Statistical Association, 94(446), 590–599.
-
(1999)
Journal of the American Statistical Association
, vol.94
, Issue.446
, pp. 590-599
-
-
Pitt, M.K.1
Shephard, N.2
-
34
-
-
84947034852
-
Object tracking in low-frame-rate video. US Patent Application Publication
-
Porikli, F. & Tuzel, O. (2006). Object tracking in low-frame-rate video. US Patent Application Publication, US20060222205A1.
-
(2006)
US20060222205A1
-
-
Porikli, F.1
Tuzel, O.2
-
35
-
-
33845598510
-
Covariance tracking using model update based on lie algebra
-
Porikli, F., Tuzel, O., & Meer, P. (2006). Covariance tracking using model update based on lie algebra. In: Proceedings of International Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 728–735.
-
(2006)
Proceedings of International Conference on Computer Vision and Pattern Recognition
, vol.1
, pp. 728-735
-
-
Porikli, F.1
Tuzel, O.2
Meer, P.3
-
38
-
-
39749173057
-
Incremental learning for robust visual tracking
-
Ross, D., Lim, J., Lin, R., & Yang, M. (2008). Incremental learning for robust visual tracking. International Journal of Computer Vision, 77(1), 125–141.
-
(2008)
International Journal of Computer Vision
, vol.77
, Issue.1
, pp. 125-141
-
-
Ross, D.1
Lim, J.2
Lin, R.3
Yang, M.4
-
39
-
-
77953178544
-
On-line random forests. In: Proceedings of European Conference on Computer Vision Workshops, pp
-
Saffari, A., Leistner, C., Santner, J., Godec, M., & Bischof, H. (2010). On-line random forests. In: Proceedings of European Conference on Computer Vision Workshops, pp. 1393–1400.
-
(2010)
1393–1400
-
-
Saffari, A.1
Leistner, C.2
Santner, J.3
Godec, M.4
Bischof, H.5
-
42
-
-
0026246210
-
Color indexing
-
Swain, M., & Ballard, D. (1991). Color indexing. International Journal of Computer Vision, 7(1), 11–32.
-
(1991)
International Journal of Computer Vision
, vol.7
, Issue.1
, pp. 11-32
-
-
Swain, M.1
Ballard, D.2
-
43
-
-
0003743633
-
Detection and tracking of point features. Technical Report CMU-CS-91-132
-
Tomasi, C. & Kanade, T. (1991). Detection and tracking of point features. Technical Report CMU-CS-91-132, Carnegie Mellon University.
-
(1991)
Carnegie Mellon University
-
-
Tomasi, C.1
Kanade, T.2
-
44
-
-
51949092888
-
Learning on lie groups for invariant detection and tracking. In: Proceedings of International Conference on Computer Vision and Pattern Recognition, pp
-
Tuzel, O., Porikli, F., & Meer, P. (2008). Learning on lie groups for invariant detection and tracking. In: Proceedings of International Conference on Computer Vision and Pattern Recognition, pp. 1–8.
-
(2008)
1–8
-
-
Tuzel, O.1
Porikli, F.2
Meer, P.3
-
45
-
-
2142812371
-
Robust real-time face detection
-
Viola, P., & Jones, M. (2004). Robust real-time face detection. International Journal of Computer Vision, 52(2), 137–154.
-
(2004)
International Journal of Computer Vision
, vol.52
, Issue.2
, pp. 137-154
-
-
Viola, P.1
Jones, M.2
-
46
-
-
34548133657
-
Adaptive object tracking based on an effective appearance filter
-
Wang, H., Suter, D., Schindler, K., & Shen, C. (2007). Adaptive object tracking based on an effective appearance filter. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(9), 1661–1667.
-
(2007)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.29
, Issue.9
, pp. 1661-1667
-
-
Wang, H.1
Suter, D.2
Schindler, K.3
Shen, C.4
-
47
-
-
77956001933
-
Use bin-ratio information for category and scene classification
-
Xie, N., Ling, H., Hu, W., & Zhang, X. (2010). Use bin-ratio information for category and scene classification. In: Proceeding of IEEE Conference on Computer Vision and Pattern Recognition.
-
(2010)
In: Proceeding of IEEE Conference on Computer Vision and Pattern Recognition
-
-
Xie, N.1
Ling, H.2
Hu, W.3
Zhang, X.4
-
48
-
-
77950821942
-
Modified particle filter for object tracking in low frame rate video. In: Proceeding of IEEE Conference on Decision and Control (pp
-
Zhang, T., Fei, S., Lu, H., & Li, X. (2009). Modified particle filter for object tracking in low frame rate video. In: Proceeding of IEEE Conference on Decision and Control (pp. 2552–2557).
-
(2009)
2552–2557)
-
-
Zhang, T.1
Fei, S.2
Lu, H.3
Li, X.4
-
49
-
-
7444266896
-
Visual tracking and recognition using appearance-adaptive models in particle filters
-
Zhou, S. K., Chellappa, R., & Moghaddam, B. (2004). Visual tracking and recognition using appearance-adaptive models in particle filters. IEEE Transactions on Image Processing, 13, 1491–1506.
-
(2004)
IEEE Transactions on Image Processing
, vol.13
, pp. 1491-1506
-
-
Zhou, S.K.1
Chellappa, R.2
Moghaddam, B.3
|