Overview

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.lgorithms, such as track initialization and merging.lgorithms, such as track initialization and merging.lgorithms, such as track initialization and merging.

ISBN-13

9780521876285

ISBN-10

0521876281

Weight

2.02 Pounds

Dimensions

6.90 x 1.00 x 9.80 In

List Price

$108.00

Edition

1st Edition

Format

Hardcover

Language

English

Pages

392 pages

Publisher

Cambridge University Press

Published On

2011-07-28



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