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Fundamentals of Object Tracking, Hardback Book


Kalman filter, particle filter, IMM, PDA, ITS, random sets...

The number of useful object-tracking methods is exploding.

But how are they related? How do they help track everything from aircraft, missiles and extra-terrestrial objects to people and lymphocyte cells?

How can they be adapted to novel applications? Fundamentals of Object Tracking tells you how. Starting with the generic object-tracking problem, it outlines the generic Bayesian solution.

It then shows systematically how to formulate the major tracking problems - maneuvering, multiobject, clutter, out-of-sequence sensors - within this Bayesian framework and how to derive the standard tracking solutions.

This structured approach makes very complex object-tracking algorithms accessible to the growing number of users working on real-world tracking problems and supports them in designing their own tracking filters under their unique application constraints.

The book concludes with a chapter on issues critical to successful implementation of tracking algorithms, such as track initialization and merging.


  • Format: Hardback
  • Pages: 392 pages, 20 Halftones, unspecified; 40 Line drawings, unspecified; 1 Line drawings, color
  • Publisher: Cambridge University Press
  • Publication Date:
  • Category: Probability & statistics
  • ISBN: 9780521876285



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