Introduction to Bayesian Tracking and Particle Filters: 126 (Studies in Big Data)

Stone, Lawrence D.; Streit, Roy L.; Anderson, Stephen L.

ISBN 10: 3031322444 / ISBN 13: 9783031322440

Published by Springer, 2024

About this Item

2023rd edition NO-PA16APR2015-KAP.

Seller Inventory # 26401318064

Bibliographic Details

• Title: Introduction to Bayesian Tracking and Particle Filters: 126 (Studies in Big Data)
• Publisher: Springer
• Publication Date: 2024
• Language: English
• ISBN 10: 3031322444
• ISBN 13: 9783031322440
• Binding: Soft cover
• Condition: New

About this title

Synopsis

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.