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References
J Ahlberg. An active model for facial feature tracking. J Applied Signal Proc, pp 566–571, 2002.
S Baker and I Matthews. Lucas—Kanade 20 years on: A unifying framework. Int J Computer Vision, pp 221–255, 2004.
M Black and A Jepson. Eigen-tracking: Robust matching and tracking of articulated objects using a view-based representation. Int J Computer Vision, pp 101–130, 1998.
D Comaniciu et al. Kernel-based object tracking. IEEE Trans PAMI, pp 564–577, 2003.
T F Cootes et al. Active appearance models. IEEE Trans PAMI, pp 681–684, 2001.
F de la Torre et al. A probabilistic framework for rigid and non-rigid appearance based tracking and recognition. Proc IEEE Int Conf on Automatic Face and Gesture Recognition, 2000.
F Dornaika et al. 3D head tracking with particle filters. Proc Int Workshop on Image Analysis for Multimedia Interactive Services, 2004.
A Doucet et al. Sequential Monte Carlo Methods in Practice. Springer-Verlag, 2001.
P J Huber. Robust Statistics. John Wiley and Sons, 1981.
M Isard and A Blake. Condensation-conditional density propagation for visual tracking. Int J Computer Vision, pp 5–28, 1998.
A D Jepson et al. Robust online appearance models for visual tracking. IEEE Trans PAMI, pp 1296–1311, 2003.
B Lucas and T Kanade. An iterative image registration technique with an application to stereo vision. Proc Int Joint Conf on Artificial Intelligence, 1981.
B Moghaddam and A Pentland. Probabilistic visual learning for object representation. IEEE Trans PAMI, pp 696–710, 1997.
B North et al. Learning and classification of complex dynamics. IEEE Trans PAMI, pp 1016–1034, 2000.
P Pérez et al. Color-based probabilistic tracking. Proc ECCV, 2002.
S Zhou et al. Visual tracking and recognition using appearance-adaptive models in particle filters. IEEE Trans Image Proc, pp 1491–1506, 2004.
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Davoine, F., Dornaika, F. (2005). Head and Facial Animation Tracking Using Appearance-Adaptive Models and Particle Filters. In: Kisačanin, B., Pavlović, V., Huang, T.S. (eds) Real-Time Vision for Human-Computer Interaction. Springer, Boston, MA. https://doi.org/10.1007/0-387-27890-7_8
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DOI: https://doi.org/10.1007/0-387-27890-7_8
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