M. Isard and A. Blake, "Contour Tracking by Stochasitc Propagation of Conditional Density," Proc. European Conf. Computer Vision, pp. 343-356, 1996. Home/Search Document Not in Database Summary Related Articles Check |
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Learning and Recognizing Human Dynamics in Video Sequences - Bregler (1997) (116 citations) (Correct)
....blob segmentation as a MAP EM estimate, where the Kalman filter provides the priors, we also can present this method as propagating a multinomial distribution (mixtures of Gaussians) of the system state (t) through time. This has relationships with the recently proposed condensation tracker [16]. Making only generic assumtions about the domain, the dynamical system equation of the Kalman filter is chosen to be a constant velocity update of the motion and spatial parameters. If it is known a priori what specific motion is been tracked, better choices would be domain specific dynamical ....
M. Isard and A. Blake. Contour tracking by stochasitc propagation of conditional density. In Proc. ECCV, 1996.
Sparse Bayesian Learning - For Efficient Visual (2005) Self-citation (Blake) (Correct)
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M. Isard and A. Blake, "Contour Tracking by Stochasitc Propagation of Conditional Density," Proc. European Conf. Computer Vision, pp. 343-356, 1996.
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