Track-Before-Detect Using Expectation Maximisation The Histogram Probabilistic Multi-hypothesis Tracker: Theory and Applications /

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 basi...

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Bibliographic Details
Main Author: Davey, Samuel J. (Author)
Format: Electronic eBook
Language:English
Published: Singapore : Springer Singapore , 2018.
Edition:1st ed. 2018.
Series:Signals and Communication Technology,
Subjects:
Signal processing.
Image processing.
Speech processing systems.
Optical data processing.
Computer mathematics.
Computational intelligence.
ISBN:9789811075933
ISSN:1860-4862
Online Access: Get full text
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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.
Item Description:Engineering
Physical Description:XXI, 352 p. 127 illus., 117 illus. in color. online resource.
ISBN:9789811075933
ISSN:1860-4862

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