Introduction to Bayesian Tracking and Particle Filters

Lieferzeit: Lieferbar innerhalb 14 Tagen

181,89 

Studies in Big Data 126

ISBN: 303132241X
ISBN 13: 9783031322419
Autor: Stone, Lawrence D/Streit, Roy L/Anderson, Stephen L
Verlag: Springer Verlag GmbH
Umfang: vi, 118 S., 5 s/w Illustr., 53 farbige Illustr., 118 p. 58 illus., 53 illus. in color.
Erscheinungsdatum: 01.06.2023
Auflage: 1/2023
Produktform: Gebunden/Hardback
Einband: Gebunden

This book provides a quick but insightful introduction to Bayesian tracking and particle filtering for a person who has some background in probability and statistics and wishes to learn the basics of single-target tracking. It also introduces the reader to multiple target tracking by presenting useful approximate methods that are easy to implement compared to full-blown multiple target trackers.The book presents the basic concepts of Bayesian inference and demonstrates the power of the Bayesian method through numerous applications of particle filters to tracking and smoothing problems. It emphasizes target motion models that incorporate knowledge about the target’s behavior in a natural fashion rather than assumptions made for mathematical convenience.The background provided by this book allows a person to quickly become a productive member of a project team using Bayesian filtering and to develop new methods and techniques for problems the team may face.

Artikelnummer: 8982985 Kategorie:

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E-Mail: juergen.hartmann@springer.com

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