The Labeled Multi-Bernoulli Filter
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The Labeled Multi-Bernoulli Filter: A Comprehensive Guide for Practitioners

The Labeled Multi-Bernoulli Filter: A Comprehensive Guide for Practitioners


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About the Book

This book provides a comprehensive exploration of labeled multi-Bernoulli filters, focusing primarily on dynamic multi-object tracking from point detections such as those given by radars. It includes essential theory and practical code examples to help even beginners develop their own tracking systems. The techniques presented can be easily adapted for a wide range of applications with minimal effort. It is ideal for professionals in robotics, automotive engineering, public safety, and network management, who require dependable multi-object tracking technologies. Although it does not discuss other applications directly, the flexible nature of the solutions allows them to be tailored to meet the unique challenges and requirements of various fields, such as autonomous vehicles, surveillance systems, mobile network management, and more specialized areas like maritime surveillance and air traffic control.

About the Author :
Reza Hoseinnezhad is a professor of Autonomous Systems at the School of Engineering, RMIT University, Melbourne, Australia. He has published more than 160 research works, including 4 book chapters. Reza's research is mainly concentrated on multi-target tracking and stochastic multi-source information fusion. He is also an expert in deep learning algorithms, particularly information theoretic adversarial image attacks, as well as parametric segmentation and robust fitting in computer vision.


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Product Details
  • ISBN-13: 9781036411824
  • Publisher: Cambridge Scholars Publishing
  • Publisher Imprint: Cambridge Scholars Publishing
  • Edition: Unabridged edition
  • Language: English
  • Sub Title: A Comprehensive Guide for Practitioners
  • ISBN-10: 1036411826
  • Publisher Date: 13 Sep 2024
  • Binding: Hardback
  • Height: 212 mm
  • No of Pages: 176
  • Width: 148 mm


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The Labeled Multi-Bernoulli Filter: A Comprehensive Guide for Practitioners
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