ID - 131916208 TI - Introduction to Bayesian Tracking and Particle Filters AU - Stone, Lawrence D. AU - Streit, Roy L. AU - Anderson, Stephen L. PY - 2023 SN - 9783031322426 9783031322419 9783031322433 9783031322440 PB - Cham Springer International Publishing DB - UniCat KW - Statistical science KW - Mathematical statistics KW - Information systems KW - statistiek KW - gegevensanalyse KW - Engineering—Data processing. KW - Statistics. KW - Big data. KW - Data Engineering. KW - Bayesian Inference. KW - Big Data. KW - Mathematics UR - https://www.unicat.be/uniCat?func=search&query=sysid:131916208 AB - 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. ER -