Track-Before-Detect Using Expectation Maximisation: The Histogram Probabilistic Multi-hypothesis Tracker: Theory and Applications - Samuel J. Davey,Han X. Gaetjens
-35% koodilla BOOKS
Toimitus 12-18 arkipäivässä
30 päivän palautusoikeus
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 ... Täydellinen kuvaus
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Kuvaus
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.
Lisätietoja
| Kirjoittaja | Samuel J. Davey, Han X. Gaetjens |
|---|---|
| Julkaisija | Springer Nature Singapore |
| Series | Signals and Communication Technology |
| Julkaisuvuosi | 2018 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9789811339714 |