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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| Hlavný autor: | |
|---|---|
| Médium: | Elektronický zdroj E-kniha |
| Jazyk: | English |
| Vydavateľské údaje: |
Singapore :
Springer Singapore ,
2018.
|
| Vydanie: | 1st ed. 2018. |
| Edícia: | Signals and Communication Technology,
|
| Predmet: | |
| ISBN: | 9789811075933 |
| ISSN: | 1860-4862 |
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|---|---|---|---|
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| 005 | 20220618102214.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 180208s2018 si | s |||| 0|eng d | ||
| 020 | |a 9789811075933 | ||
| 024 | 7 | |a 10.1007/978-981-10-7593-3 |2 doi | |
| 035 | |a CVTIDW14844 | ||
| 040 | |a Springer-Nature |b eng |c CVTISR |e AACR2 | ||
| 041 | |a eng | ||
| 100 | 1 | |a Davey, Samuel J. |4 aut | |
| 245 | 1 | 0 | |a Track-Before-Detect Using Expectation Maximisation |h [electronic resource] : |b The Histogram Probabilistic Multi-hypothesis Tracker: Theory and Applications / |c by Samuel J. Davey, Han X. Gaetjens. |
| 250 | |a 1st ed. 2018. | ||
| 260 | 1 | |a Singapore : |b Springer Singapore , |c 2018. | |
| 300 | |a XXI, 352 p. 127 illus., 117 illus. in color. |b online resource. | ||
| 490 | 1 | |a Signals and Communication Technology, |x 1860-4862 | |
| 500 | |a Engineering | ||
| 505 | 0 | |a 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. | |
| 516 | |a text file PDF | ||
| 520 | |a 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. | ||
| 650 | 0 | |a Signal processing. | |
| 650 | 0 | |a Image processing. | |
| 650 | 0 | |a Speech processing systems. | |
| 650 | 0 | |a Optical data processing. | |
| 650 | 0 | |a Computer mathematics. | |
| 650 | 0 | |a Computational intelligence. | |
| 856 | 4 | 0 | |u http://hanproxy.cvtisr.sk/han/cvti-ebook-springer-eisbn-978-981-10-7593-3 |y Vzdialený prístup pre registrovaných používateľov |
| 910 | |b ZE12124 | ||
| 919 | |a 978-981-10-7593-3 | ||
| 974 | |a andrea.lebedova |f Elektronické zdroje | ||
| 992 | |a SUD | ||
| 999 | |c 239553 |d 239553 | ||