CSDL Home IEEE Transactions on Pattern Analysis & Machine Intelligence 2007 vol.29 Issue No.08 - August
Issue No.08 - August (2007 vol.29)
Yogesh Rathi , IEEE
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.
Tracking, particle filters, geometric active contours.
Yogesh Rathi, Namrata Vaswani, Allen Tannenbaum, Anthony Yezzi, "Tracking Deforming Objects Using Particle Filtering for Geometric Active Contours", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.29, no. 8, pp. 1470-1475, August 2007, doi:10.1109/TPAMI.2007.1081