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Tracking deforming objects involves estimating the global motion of the object and its local deformations as a function of time. Tracking algorithms using Kalman filters or particle filters have been proposed for finite dimensional representations of shape, but these are dependent on the chosen parametrization and cannot handle changes in curve topology. Geometric active contours provide a framework which is parametrization independent and allow for changes in topology, in the present work, we formulate a particle filtering algorithm in the geometric active contour framework that can be used for tracking moving and deforming objects. To the best of our knowledge, this is the first attempt to implement an approximate particle filtering algorithm for tracking on a (theoretically) infinite dimensional state space.
Particle tracking, Active filters, Active contours, Level set, Particle filters, Shape, Topology, Filtering algorithms, Image segmentation, Motion estimation,geometric active contours., Tracking, particle filters
"Tracking Deforming Objects Using Particle Filtering for Geometric Active Contours", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 29, no. , pp. 1470-1475, August 2007, doi:10.1109/TPAMI.2007.1081
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