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They provide an estimation of the posterior probability function for the pose of the robot and for the parameters of the map.

Set-membership techniques are mainly based on interval constraint propagation.

Visual contour tracking in complex background is a difficult task.

The measurement model is often nonlinear due to clutter in images.

CEE 6430: Probabilistic Methods in Hydroscienecs Fall 2008 Acknowledgements: Numerous sources on WWW, book, papers.

During each time step, the tracker makes multiple measurements in terms of the set of appropriately chosen sample points, thus obtaining the best observation according to the measurement density.Traditional visual trackers based on Kalman filters employ simple linear measurement models, and often collapse during the tracking process.This paper presents a new contour tracker based on unscented Kalman filter that is superior to extended Kalman filter both in theory and in many practical situations.Popular approximate solution methods include the particle filter and extended Kalman filter.SLAM algorithms are tailored to the available resources, hence not aimed at perfection, but at operational compliance.

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In this model, fixed length frame of input (test) speech signal is considered as a unidirectional moving object by sliding it along the template speech signal.

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