Introduction to Bayesian Tracking and Particle Filters Hardback
by Lawrence D. Stone, Roy L. Streit, Stephen L. Anderson
Part of the Studies in Big Data series
Hardback
Description
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.
Information
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Out of stock
- Format:Hardback
- Pages:118 pages, 53 Illustrations, color; 5 Illustrations, black and white; VI, 118 p. 58 illus., 53 illus
- Publisher:Springer International Publishing AG
- Publication Date:01/06/2023
- Category:
- ISBN:9783031322419
Information
-
Out of stock
- Format:Hardback
- Pages:118 pages, 53 Illustrations, color; 5 Illustrations, black and white; VI, 118 p. 58 illus., 53 illus
- Publisher:Springer International Publishing AG
- Publication Date:01/06/2023
- Category:
- ISBN:9783031322419
