Track-Before-Detect Using Expectation Maximisation

The Histogram Probabilistic Multi-hypothesis Tracker: Theory and Applications

Nonfiction, Computers, Application Software, Computer Graphics, Science & Nature, Technology, Electronics
Cover of the book Track-Before-Detect Using Expectation Maximisation by Samuel J. Davey, Han X. Gaetjens, Springer Singapore
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Author: Samuel J. Davey, Han X. Gaetjens ISBN: 9789811075933
Publisher: Springer Singapore Publication: February 8, 2018
Imprint: Springer Language: English
Author: Samuel J. Davey, Han X. Gaetjens
ISBN: 9789811075933
Publisher: Springer Singapore
Publication: February 8, 2018
Imprint: Springer
Language: English

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.

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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.

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