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Bayesian Multiple Target Tracking|Lawrence D. Stone

Bayesian Multiple Target Tracking

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Overview

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.

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Details

  • ISBN-13: 9781580530248
  • ISBN-10: 1580530249
  • Publisher: Artech House Publishers
  • Publish Date: July 1999
  • Dimensions: 9.3 x 6.48 x 1.15 inches
  • Shipping Weight: 1.37 pounds
  • Page Count: 324

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