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

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

Author
Samuel J. Davey,Han X. Gaetjens (auth.)
Publisher
Springer Singapore
Language
English
Edition
1
Year
2018
Page
XXI, 352
ISBN
978-981-10-7592-6, 978-981-10-7593-3
File Type
pdf
File Size
11.3 MiB

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.

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