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Bayesian Multiple Target Tracking

by Lawrence D. Stone

Artech House Print on Demand

Hardcover 317 pages English August 01, 1999

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Using the Bayesian inference framework, this book enables the reader to design and develop mathematically sound algorithms for dealing with tracking problems involving multiple targets, multiple sensors, and multiple platforms. It shows how non-linear Multiple Hypothesis Tracking and the Theory of United Tracking are successful methods when multiple target tracking must be performed without contacts or association.
Author:
Lawrence D. Stone
Publisher:
Artech House Print on Demand
Publication Date:
August 01, 1999
Number of pages:
317 pages
Language:
English
Binding:
Hardcover
ISBN-10:
1580530249
ISBN-13:
9781580530248