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Introduction to Bayesian tracking an...

Stone, Lawrence D.

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Introduction to Bayesian tracking and particle filters

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Introduction to Bayesian tracking and particle filters/ by Lawrence D. Stone, Roy L. Streit, Stephen L. Anderson.
作者:	Stone, Lawrence D.
其他作者:	Streit, Roy L.
出版者:	Cham :Springer International Publishing : : 2023.,
面頁冊數:	1 online resource (vi, 118 p.) :ill., digital ;24 cm.
內容註:	Introduction -- Bayesian Single Target Tracking -- Bayesian Particle Filtering -- Simple Multiple Target Tracking -- Intensity Filters.
Contained By:	Springer Nature eBook
標題:	Bayesian statistical decision theory. -
電子資源:	https://doi.org/10.1007/978-3-031-32242-6
ISBN:	9783031322426

Introduction to Bayesian tracking and particle filters
Stone, Lawrence D.

Introduction to Bayesian tracking and particle filters[electronic resource] /by Lawrence D. Stone, Roy L. Streit, Stephen L. Anderson. - Cham :Springer International Publishing :2023. - 1 online resource (vi, 118 p.) :ill., digital ;24 cm. - Studies in big data,v. 1262197-6511 ;. - Studies in big data ;v. 126..

Introduction -- Bayesian Single Target Tracking -- Bayesian Particle Filtering -- Simple Multiple Target Tracking -- Intensity Filters.

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.

ISBN: 9783031322426

Standard No.: 10.1007/978-3-031-32242-6doiSubjects--Topical Terms:

551404
Bayesian statistical decision theory.

LC Class. No.: QA279.5

Dewey Class. No.: 519.542

Introduction to Bayesian tracking and particle filters
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520 $a 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.
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