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Bayesian Multiple Target Track 2nd Ed|Lawrence D. Stone

Bayesian Multiple Target Track 2nd Ed

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Overview

This second edition has undergone substantial revision from the 1999 first edition, recognizing that a lot has changed in the multiple target tracking field. One of the most dramatic changes is in the widespread use of particle filters to implement nonlinear, non-Gaussian Bayesian trackers. This book views multiple target tracking as a Bayesian inference problem. Within this framework it develops the theory of single target tracking. In addition to providing a detailed description of a basic particle filter that implements the Bayesian single target recursion, this resource provides numerous examples that involve the use of particle filters.

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Details

  • ISBN-13: 9781608075539
  • ISBN-10: 1608075532
  • Publisher: Artech House Publishers
  • Publish Date: January 2014
  • Dimensions: 9.2 x 6.3 x 1.1 inches
  • Shipping Weight: 1.4 pounds
  • Page Count: 320

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