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Stochastic algorithms for visual tracking : probabilistic modelling and stochastic algorithms for visual localisation and tracking /

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A central problem in computer vision is to track objects as they move and deform in a video sequence. Stochastic algorithms -- in particular, particle filters and the Condensation algorithm -- have dramatically enhanced the state of the art for such visual tracking problems in recent years. This boo...

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Bibliographic Details
Main Author: MacCormick, John, 1972-
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: London ; New York : Springer, [2002]
Series:CPHC/BCS distinguished dissertations.
Subjects:
Computer vision.
Stochastic analysis.
Stochastische analyse.
Algoritmen.
Patroonherkenning.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Introduction and Background
  • The Condensation Algorithm
  • Contour Likelihoods
  • Object Localisation and Tracking with Contour Likelihoods
  • Modelling Occlusions using the Markov Likelihood
  • A Probabilistic Exclusion Principle for Multiple Objects
  • Partitioned Sampling
  • Conclusion
  • Appendices.