Mathematicians develop the mathematical theory of multiple target tracking from a standard Bayesian point of view. Within the context of a Bayesian inference problem, they develop the theory of single-target tracking, multiple-target tracking, and likelihood ratio detection and tracking. The second edition incorporates changes in the field by describing a basic particle filter that implements Bayesian single-target recursion, presenting three algorithms that provide approximate solutions to multiple-target tracking problems, including new information on multi-target intensity filters and the maximum a posteriori penalty function technique, and making other changes. Annotation ©2014 Book News, Inc., Portland, OR (booknews.com)
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Lawrence D. Stone is chief scientist at Metron, Inc. He received his Ph.D. and MS in mathematics from Purdue University. Roy Streit is a senior scientist at Metron, Inc. He earned his Ph.D. in mathematics from the University of Rhode Island. Thomas L. Corwin is president, chief operating officer, and board chairman of Metron Inc. He received his Ph.D and MS in statistics from Princeton University. Kristine Bell is a senior scientist at Metron, Inc. She received her PhD in information technology from GMU.
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Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions. Artikel-Nr. Z1-K-026-02509
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Zustand: New. Über den AutorLawrence D. Stone is chief scientist at Metron, Inc. He received his Ph.D. and MS in mathematics from Purdue University. Roy Streit is a senior scientist at Metron, Inc. He earned his Ph.D. in mathematics from the Univ. Artikel-Nr. 904484949
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Buch. Zustand: Neu. Neuware - This second edition has undergone substantial revision from the 1999 first edition, recognizing that a lot has changed in the multiple target tracking field. One of the most dramatic changes is in the widespread use of particle filters to implement nonlinear, non-Gaussian Bayesian trackers. This book views multiple target tracking as a Bayesian inference problem. Within this framework it develops the theory of single target tracking. In addition to providing a detailed description of a basic particle filter that implements the Bayesian single target recursion, this resource provides numerous examples that involve the use of particle filters. Artikel-Nr. 9781608075539
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