Track-before-detect using expectation maximisation : the histogram probabilistic multi-hypothesis tracker: theory and applications /

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Bibliographic Details
Author / Creator:Davey, Samuel J., author.
Imprint:Singapore : Springer, 2018.
Description:1 online resource (xxi, 352 pages) : illustrations (some color)
Language:English
Series:Signals and communication technology, 1860-4862
Signals and communication technology,
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11543425
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Other authors / contributors:Gaetjens, Han X., author.
ISBN:9789811075933
981107593X
9789811075926
9811075921
Digital file characteristics:text file PDF
Notes:Includes bibliographical references and index.
Online resource; title from PDF title page (SpringerLink, viewed February 13, 2018).
Summary:This book offers a detailed description of the histogram probabilistic multi-hypothesis tracker (H-PMHT), providing an accessible and intuitive introduction to the mathematical mechanics of H-PMHT as well as a definitive reference source for the existing literature on the method. Beginning with basic concepts, the authors then move on to address extensions of the method to a broad class of tracking problems. The latter chapters present applications using recorded data from experimental radar, sonar and video sensor systems. The book is supplemented with software that both furthers readers' understanding and acts as a toolkit for those who wish to apply the methods to their own problems.
Other form:Printed edition: 9789811075926
Standard no.:10.1007/978-981-10-7593-3