Tracking Deforming Objects using Particle Filtering for Geometric Active Contours

Abstract

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

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2007
Accession Number
ADA464927

Entities

People

  • Allen Tannenbaum
  • Anthony Yezzi
  • Namrata Vaswani
  • Yogesh Rathi

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Calculus Of Variations
  • Computational Complexity
  • Condensation
  • Equations
  • Filters
  • Filtration
  • Iterations
  • Markov Processes
  • Materials Science
  • Observation
  • Particles
  • Probability
  • Probability Distributions
  • Sequential Monte Carlo Methods
  • Standards

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computer Vision.