-
1
-
-
0038633569
-
Kernel-based object tracking
-
Comaniciu, D., V. Ramesh, and P. Meer, Kernel-based Object Tracking. IEEE Trans. Pattern Analysis and Machine Intelligence, 2003. 25(5): p. 564-577.
-
(2003)
IEEE Trans. Pattern Analysis and Machine Intelligence
, vol.25
, Issue.5
, pp. 564-577
-
-
Comaniciu, D.1
Ramesh, V.2
Meer, P.3
-
2
-
-
0037428077
-
An adaptive color-based particle filter
-
Nummiaroa, K., E. Koller-Meierb, and L.V. Gool, An Adaptive Color-Based Particle Filter. Image and Vision Computing, 2003. 21: p. 99-110.
-
(2003)
Image and Vision Computing
, vol.21
, pp. 99-110
-
-
Nummiaroa, K.1
Koller-Meierb, E.2
Gool, L.V.3
-
3
-
-
0032136153
-
Condensation-conditional density propagation for visual tracking
-
Isard, M. and A. Blake, Condensation-Conditional Density Propagation for Visual Tracking. International Journal of Computer Vision, 1998. 29(1): p. 5-28.
-
(1998)
International Journal of Computer Vision
, vol.29
, Issue.1
, pp. 5-28
-
-
Isard, M.1
Blake, A.2
-
7
-
-
13344250690
-
Data fusion for visual tracking with particles
-
Perez, P., J. Vermaak, and A. Blake, Data Fusion for Visual Tracking with Particles. Proceedings of the IEEE, 2004. 92(3): p. 495-513.
-
(2004)
Proceedings of the IEEE
, vol.92
, Issue.3
, pp. 495-513
-
-
Perez, P.1
Vermaak, J.2
Blake, A.3
-
9
-
-
33744958383
-
Integral histogram: A fast way to extract histograms in cartesian spaces
-
Porikli, F. Integral Histogram: A Fast Way to Extract Histograms in Cartesian Spaces. Computer Vision and Pattern Recognition. 2005. p. 829-836.
-
(2005)
Computer Vision and Pattern Recognition
, pp. 829-836
-
-
Porikli, F.1
-
10
-
-
7444266896
-
Visual tracking and recognition using appearance-adaptive models in particle filters
-
Zhou, S., R. Chellappa, and B. Moghaddam, Visual Tracking and Recognition Using Appearance-Adaptive Models in Particle Filters. IEEE Transactions on Image Processing, 2004, 11: p. 1434-1456.
-
(2004)
IEEE Transactions on Image Processing
, vol.11
, pp. 1434-1456
-
-
Zhou, S.1
Chellappa, R.2
Moghaddam, B.3
-
12
-
-
84957655116
-
ICONDENSATION: Unifying low-level and high-level tracking in a stochastic framework
-
Isard, M. and A. Blake. ICONDENSATION: Unifying Low-level and High-level Tracking in a Stochastic Framework. European Conference on Computer Vision. 1998. p. 893-908.
-
(1998)
European Conference on Computer Vision
, pp. 893-908
-
-
Isard, M.1
Blake, A.2
-
14
-
-
33645307063
-
Background and foreground modeling using non-parametric kernel density estimation for visual surveillance
-
Elgammal, A., et al., Background and Foreground Modeling using Non-parametric Kernel Density Estimation for Visual Surveillance. Proceedings of the IEEE, 2002. 90(7): p. 1151-1163.
-
(2002)
Proceedings of the IEEE
, vol.90
, Issue.7
, pp. 1151-1163
-
-
Elgammal, A.1
-
16
-
-
0033098507
-
Tracking colour objects using adaptive mixture models
-
McKenna, S.J., Y. Raja, and S. Gong, Tracking Colour Objects Using Adaptive Mixture Models. Image and Vision Computing, 1999.17: p. 225-231.
-
(1999)
Image and Vision Computing
, vol.17
, pp. 225-231
-
-
McKenna, S.J.1
Raja, Y.2
Gong, S.3
-
18
-
-
33745827671
-
On-line density-based appearance modeling for object tracking
-
Han, B. and L. Davis. On-Line Density-Based Appearance Modeling for Object Tracking. International Conference on Computer Vision. 2005. p. 1492-1499.
-
(2005)
International Conference on Computer Vision
, pp. 1492-1499
-
-
Han, B.1
Davis, L.2
-
19
-
-
3543134710
-
Robust visual tracking by integrating multiple cues based on co-inference learning
-
Wu, Y. and T.S. Huang, Robust Visual Tracking by Integrating Multiple Cues Based on Co-Inference Learning. International Journal of Computer Vision, 2004. 58(1): p. 55-71.
-
(2004)
International Journal of Computer Vision
, vol.58
, Issue.1
, pp. 55-71
-
-
Wu, Y.1
Huang, T.S.2
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