Roy L. Streit's Books

Bayesian Multiple Target Tracking, Second Edition

By: Lawrence D. Stone,Roy L. Streit,Thomas L. Corwin,Kristine L. Bell

Write a review Read reviews Take a Quiz Solve Book Puzzle

Bayesian Multiple Target Tracking, Second Edition

By: Lawrence D. Stone,Roy L. Streit,Thomas L. Corwin,Kristine L. Bell

This second edition has undergone substantial revision from the 1999 first edition, recognizing that a lot has changed in the multiple target tracking field. One of the most dramatic changes is in the widespread use of particle filters to implement nonlinear, non-Gaussian Bayesian trackers. This book views multiple target tracking as a Bayesian inference problem. Within this framework it develops the theory of single target tracking, multiple target tracking, and likelihood ratio detection and tracking. In addition to providing a detailed description of a basic particle filter that implements the Bayesian single target recursion, this resource provides numerous examples that involve the use of particle filters. With these examples illustrating the developed concepts, algorithms, and approaches -- the book helps radar engineers develop tracking solutions when observations are non-linear functions of target state, when the target state distributions or measurement error distributions are not Gaussian, in low data rate and low signal to noise ratio situations, and when notions of contact and association are merged or unresolved among more than one target.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

315

Publisher

Artech House

Published Date

ISBN 10

1608075532

ISBN 13

9781608075539

Poisson Point Processes

Imaging, Tracking, and Sensing

By: Roy L. Streit

Write a review Read reviews Take a Quiz Solve Book Puzzle

Poisson Point Processes

Imaging, Tracking, and Sensing

By: Roy L. Streit

Poisson Point Processes provides an overview of non-homogeneous and multidimensional Poisson point processes and their numerous applications. Readers will find constructive mathematical tools and applications ranging from emission and transmission computed tomography to multiple target tracking and distributed sensor detection, written from an engineering perspective. A valuable discussion of the basic properties of finite random sets is included. Maximum likelihood estimation techniques are discussed for several parametric forms of the intensity function, including Gaussian sums, together with their Cramer-Rao bounds. These methods are then used to investigate: -Several medical imaging techniques, including positron emission tomography (PET), single photon emission computed tomography (SPECT), and transmission tomography (CT scans) -Various multi-target and multi-sensor tracking applications, -Practical applications in areas like distributed sensing and detection, -Related finite point processes such as marked processes, hard core processes, cluster processes, and doubly stochastic processes, Perfect for researchers, engineers and graduate students working in electrical engineering and computer science, Poisson Point Processes will prove to be an extremely valuable volume for those seeking insight into the nature of these processes and their diverse applications.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

274

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1441969233

ISBN 13

9781441969231

Introduction to Bayesian Tracking and Particle Filters

By: Lawrence D. Stone,Roy L. Streit,Stephen L. Anderson

Write a review Read reviews Take a Quiz Solve Book Puzzle

Introduction to Bayesian Tracking and Particle Filters

By: Lawrence D. Stone,Roy L. Streit,Stephen L. Anderson

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.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

124

Publisher

Springer Nature

Published Date

ISBN 10

3031322428

ISBN 13

9783031322426

Analytic Combinatorics for Multiple Object Tracking

By: Roy Streit,Robert Blair Angle,Murat Efe

Write a review Read reviews Take a Quiz Solve Book Puzzle

Analytic Combinatorics for Multiple Object Tracking

By: Roy Streit,Robert Blair Angle,Murat Efe

The book shows that the analytic combinatorics (AC) method encodes the combinatorial problems of multiple object tracking—without information loss—into the derivatives of a generating function (GF). The book lays out an easy-to-follow path from theory to practice and includes salient AC application examples. Since GFs are not widely utilized amongst the tracking community, the book takes the reader from the basics of the subject to applications of theory starting from the simplest problem of single object tracking, and advancing chapter by chapter to more challenging multi-object tracking problems. Many established tracking filters (e.g., Bayes-Markov, PDA, JPDA, IPDA, JIPDA, CPHD, PHD, multi-Bernoulli, MBM, LMBM, and MHT) are derived in this manner with simplicity, economy, and considerable clarity. The AC method gives significant and fresh insights into the modeling assumptions of these filters and, thereby, also shows the potential utility of various approximation methods that are well established techniques in applied mathematics and physics, but are new to tracking. These unexplored possibilities are reviewed in the final chapter of the book.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

221

Publisher

Springer Nature

Published Date

ISBN 10

3030611914

ISBN 13

9783030611910

Book's by Roy L. Streit

Bayesian Multiple Target Tracking, Second Edition

Bayesian Multiple Target Tracking, Second Edition

Poisson Point Processes

Poisson Point Processes

Introduction to Bayesian Tracking and Particle Filters

Introduction to Bayesian Tracking and Particle Filters

Analytic Combinatorics for Multiple Object Tracking

Analytic Combinatorics for Multiple Object Tracking

Username

Password

Username

Password

Password again

Birthday

Email