Product Details
Bayesian Multiple Target Tracking

Bayesian Multiple Target Tracking
By STONE

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Product Description

Get the solutions to your most challenging tracking problems with this up-to-date resource. Using the Bayesian inference framework, the book helps you design and develop mathematically sound algorithms for dealing with tracking problems involving multiple targets, multiple sensors, and multiple platforms. The book shows you how non-linear Multiple Hypothesis Tracking and the Theory of Unified Tracking are successful methods when multiple target tracking must be performed without contacts or association.


Product Details

  • Amazon Sales Rank: #1118100 in Books
  • Published on: 1999-08-11
  • Original language: English
  • Dimensions: 1.15" h x 6.48" w x 9.30" l, 1.37 pounds
  • Binding: Hardcover
  • 317 pages

Editorial Reviews

About the Author
Lawrence D. Stone is Chief Operating Officer at Metron, Inc. He received his Ph.D. and MS in mathematics from Purdue University. Carl A. Barlow is an independent scientific consultant. He holds S.B. and S.M. degrees in theoretical physics from MIT. Thomas L. Corwin is Chief Executive Officer of Metron, Inc. He received his Ph.D and MS in statistics from Princeton University.