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Introduction to Bayesian Tracking and Particle Filters
Buch von Lawrence D. Stone (u. a.)
Sprache: Englisch

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Beschreibung
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.
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.
Zusammenfassung

Provides a quick and insightful introduction to Bayesian Particle Filtering

Requires only basic knowledge of probability and statistics

Illustrates and motivates cardinal concepts with practical examples and minimal mathematical complexity

Inhaltsverzeichnis
Introduction.- Bayesian Single Target Tracking.- Bayesian Particle Filtering.- Simple Multiple Target Tracking.- Intensity Filters.
Details
Medium: Buch
Inhalt: vi
118 S.
5 s/w Illustr.
53 farbige Illustr.
118 p. 58 illus.
53 illus. in color.
ISBN-13: 9783031322419
ISBN-10: 303132241X
Sprache: Englisch
Einband: Gebunden
Autor: Stone, Lawrence D.
Anderson, Stephen L.
Streit, Roy L.
Hersteller: Springer Nature Switzerland
Springer International Publishing
Springer International Publishing AG
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 241 x 160 x 13 mm
Von/Mit: Lawrence D. Stone (u. a.)
Erscheinungsdatum: 01.06.2023
Gewicht: 0,382 kg
Artikel-ID: 126784266
Zusammenfassung

Provides a quick and insightful introduction to Bayesian Particle Filtering

Requires only basic knowledge of probability and statistics

Illustrates and motivates cardinal concepts with practical examples and minimal mathematical complexity

Inhaltsverzeichnis
Introduction.- Bayesian Single Target Tracking.- Bayesian Particle Filtering.- Simple Multiple Target Tracking.- Intensity Filters.
Details
Medium: Buch
Inhalt: vi
118 S.
5 s/w Illustr.
53 farbige Illustr.
118 p. 58 illus.
53 illus. in color.
ISBN-13: 9783031322419
ISBN-10: 303132241X
Sprache: Englisch
Einband: Gebunden
Autor: Stone, Lawrence D.
Anderson, Stephen L.
Streit, Roy L.
Hersteller: Springer Nature Switzerland
Springer International Publishing
Springer International Publishing AG
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 241 x 160 x 13 mm
Von/Mit: Lawrence D. Stone (u. a.)
Erscheinungsdatum: 01.06.2023
Gewicht: 0,382 kg
Artikel-ID: 126784266
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