Bayesian Multiple Target Tracking
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Author(s): L. D. Stone, C. A. Barlow and T. L. Corwin
Publisher: Artech House Books
ISBN: 0 58053 024 9
Format: hardback
299pp
Price: £64.00
Review Date: 23 May 2000
Review: This book presents a careful development of the mathematical theory of multiple target tracking from a Bayesian point of view. The problem of multiple target tracking is to estimate both the number of targets in the region of interest and the state of each target. Here, multiple target tracking is viewed as a Bayesian inference problem. This framework of Bayesian inference is used to view, design and develop tracking algorithms. It should be sufficient to model most, if not all tracking problems and to construct optimal tracking algorithms within this framework. There are chapters on: Tracking problems; Bayesian influence and likelihood functions; Single target tracking; Classical multiple target tracking - multiple hypothesis tracking; Multiple target tracking without contacts or association; Likelihood ratio detection and tracking - theoretical foundations; and Likelihood ratio tracking and detection - implementations issues.