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Record Nr. |
UNINA9910728944303321 |
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Autore |
Stone Lawrence D |
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Titolo |
Introduction to Bayesian Tracking and Particle Filters / / by Lawrence D. Stone, Roy L. Streit, Stephen L. Anderson |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (124 pages) |
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Collana |
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Studies in Big Data, , 2197-6511 ; ; 126 |
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Altri autori (Persone) |
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StreitRoy L |
AndersonStephen L |
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Disciplina |
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Soggetti |
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Engineering - Data processing |
Statistics |
Big data |
Data Engineering |
Bayesian Inference |
Big Data |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Introduction -- Bayesian Single Target Tracking -- Bayesian Particle Filtering -- Simple Multiple Target Tracking -- Intensity Filters. |
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Sommario/riassunto |
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This book provides a quick but insightful introduction to Bayesian tracking and particle filtering for a person who has some background in probability and statistics and wishes to learn the basics of single-target tracking. It also introduces the reader to multiple target tracking by presenting useful approximate methods that are easy to implement compared to full-blown multiple target trackers. The book presents the basic concepts of Bayesian inference and demonstrates the power of the Bayesian method through numerous applications of particle filters to tracking and smoothing problems. It emphasizes target motion models that incorporate knowledge about the target’s behavior in a natural fashion rather than assumptions made for mathematical convenience. The background provided by this book allows a person to |
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