Abstract #302169

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JSM 2003 Abstract #302169
Activity Number: 236
Type: Topic Contributed
Date/Time: Tuesday, August 5, 2003 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Computing
Abstract - #302169
Title: Particle Filtering for Tracking on Nonlinear Manifolds
Author(s): Anuj Srivastava*+
Companies: Florida State University
Address: Rm 210B OSB, Tallahassee, FL, 32306,
Keywords: nonlinear filtering ; shape manifolds ; principal component tracking ; particle filtering ; sequential Monte Carlo
Abstract:

Particle filtering (or sequential Monte Carlo) framework has provided tools for time series estimation in non-Gaussian, nonlinear frameworks. More importantly, and less famously, it has also allowed solutions of estimating and tracking in situations where the variables are defined on curved manifolds. We will present two instances of particle filtering on curved manifolds: (i) tracking of k-dimensional subspaces of an n dimensional time-varying system (n >> k), and (ii) tracking the shape of a flexible object using image sequences. In the first case we generate samples from the time-varying posterior on the Grassmann manifold G(n,k). In the second case we represent continuous, planar closed curves as the elements of a (infinite-dimensional) shape manifold, and use particle filtering to generate samples from a changing posterior on this manifold.


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