It takes the average reader 2 hours and 5 minutes to read Introduction to Bayesian Tracking and Particle Filters by Lawrence D. Stone
Assuming a reading speed of 250 words per minute. Learn more
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.
Introduction to Bayesian Tracking and Particle Filters by Lawrence D. Stone is 124 pages long, and a total of 31,496 words.
This makes it 42% the length of the average book. It also has 38% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 2 hours and 52 minutes to read Introduction to Bayesian Tracking and Particle Filters aloud.
Introduction to Bayesian Tracking and Particle Filters is suitable for students ages 10 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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