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Track-Before-Detect Using Expectatio...
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Gaetjens, Han X.
Track-Before-Detect Using Expectation Maximisation = The Histogram Probabilistic Multi-hypothesis Tracker: Theory and Applications /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Track-Before-Detect Using Expectation Maximisation/ by Samuel J. Davey, Han X. Gaetjens.
其他題名:
The Histogram Probabilistic Multi-hypothesis Tracker: Theory and Applications /
作者:
Davey, Samuel J.
其他作者:
Gaetjens, Han X.
面頁冊數:
XXI, 352 p. 127 illus., 117 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Signal processing. -
電子資源:
https://doi.org/10.1007/978-981-10-7593-3
ISBN:
9789811075933
Track-Before-Detect Using Expectation Maximisation = The Histogram Probabilistic Multi-hypothesis Tracker: Theory and Applications /
Davey, Samuel J.
Track-Before-Detect Using Expectation Maximisation
The Histogram Probabilistic Multi-hypothesis Tracker: Theory and Applications /[electronic resource] :by Samuel J. Davey, Han X. Gaetjens. - 1st ed. 2018. - XXI, 352 p. 127 illus., 117 illus. in color.online resource. - Signals and Communication Technology,1860-4862. - Signals and Communication Technology,.
Foreword -- Introduction -- Idealised Track-Before-Detect -- Point Measurement Probabilistic Multi-Hypothesis Tracking -- Histogram ProbabilisticMulti-Hypothesis Tracking -- Implementation Considerations -- Poisson Scattering Field -- Non-linear Non-Gaussian Targets -- Adaptive Appearance Models -- H-PMHT with Attribute Data -- Radar and Sonar Track-Before-Detect -- Tracking in Full Motion Video -- Related Methods -- Summary and Prognostications.
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.
ISBN: 9789811075933
Standard No.: 10.1007/978-981-10-7593-3doiSubjects--Topical Terms:
561459
Signal processing.
LC Class. No.: TK5102.9
Dewey Class. No.: 621.382
Track-Before-Detect Using Expectation Maximisation = The Histogram Probabilistic Multi-hypothesis Tracker: Theory and Applications /
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