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Published by Springer Nature Switzerland AG, Cham, 2020
ISBN 10: 3030611906 ISBN 13: 9783030611903
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Hardcover. Condition: new. Hardcover. The book shows that the analytic combinatorics (AC) method encodes the combinatorial problems of multiple object trackingwithout information lossinto the derivatives of a generating function (GF). The book lays out an easy-to-follow path from theory to practice and includes salient AC application examples. Since GFs are not widely utilized amongst the tracking community, the book takes the reader from the basics of the subject to applications of theory starting from the simplest problem of single object tracking, and advancing chapter by chapter to more challenging multi-object tracking problems. Many established tracking filters (e.g., Bayes-Markov, PDA, JPDA, IPDA, JIPDA, CPHD, PHD, multi-Bernoulli, MBM, LMBM, and MHT) are derived in this manner with simplicity, economy, and considerable clarity. The AC method gives significant and fresh insights into the modeling assumptions of these filters and, thereby, also shows the potential utility of various approximation methods that are well established techniques in applied mathematics and physics, but are new to tracking. These unexplored possibilities are reviewed in the final chapter of the book. Since GFs are not widely utilized amongst the tracking community, the book takes the reader from the basics of the subject to applications of theory starting from the simplest problem of single object tracking, and advancing chapter by chapter to more challenging multi-object tracking problems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Artech House on Demand, 2014
ISBN 10: 1608075532 ISBN 13: 9781608075539
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hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by Artech House on Demand, 2014
ISBN 10: 1608075532 ISBN 13: 9781608075539
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by Artech House on Demand, 2014
ISBN 10: 1608075532 ISBN 13: 9781608075539
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Springer-Verlag New York Inc., New York, 2014
ISBN 10: 1489994491 ISBN 13: 9781489994493
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Paperback. Condition: new. Paperback. "Poisson Point Processes provides an overview of non-homogeneous and multidimensional Poisson point processes and their numerous applications. Readers will find constructive mathematical tools and applications ranging from emission and transmission computed tomography to multiple target tracking and distributed sensor detection, written from an engineering perspective. A valuable discussion of the basic properties of finite random sets is included. Maximum likelihood estimation techniques are discussed for several parametric forms of the intensity function, including Gaussian sums, together with their Cramer-Rao bounds. These methods are then used to investigate:-Several medical imaging techniques, including positron emission tomography (PET), single photon emission computed tomography (SPECT), and transmission tomography (CT scans)-Various multi-target and multi-sensor tracking applications,-Practical applications in areas like distributed sensing and detection,-Related finite point processes such as marked processes, hard core processes, cluster processes, and doubly stochastic processes,Perfect for researchers, engineers and graduate students working in electrical engineering and computer science, Poisson Point Processes will prove to be an extremely valuable volume for those seeking insight into the nature of these processes and their diverse applications. This overview of non-homogeneous and multidimensional Poisson point processes and their applications features mathematical tools and applications from emission- and transmission-computed tomography to multiple target tracking and distributed sensor detection. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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Published by Springer-Verlag New York Inc., New York, NY, 2010
ISBN 10: 1441969225 ISBN 13: 9781441969224
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Hardcover. Condition: new. Hardcover. "Poisson Point Processes provides an overview of non-homogeneous and multidimensional Poisson point processes and their numerous applications. Readers will find constructive mathematical tools and applications ranging from emission and transmission computed tomography to multiple target tracking and distributed sensor detection, written from an engineering perspective. A valuable discussion of the basic properties of finite random sets is included. Maximum likelihood estimation techniques are discussed for several parametric forms of the intensity function, including Gaussian sums, together with their Cramer-Rao bounds. These methods are then used to investigate:-Several medical imaging techniques, including positron emission tomography (PET), single photon emission computed tomography (SPECT), and transmission tomography (CT scans)-Various multi-target and multi-sensor tracking applications,-Practical applications in areas like distributed sensing and detection,-Related finite point processes such as marked processes, hard core processes, cluster processes, and doubly stochastic processes,Perfect for researchers, engineers and graduate students working in electrical engineering and computer science, Poisson Point Processes will prove to be an extremely valuable volume for those seeking insight into the nature of these processes and their diverse applications. This overview of non-homogeneous and multidimensional Poisson point processes and their applications features mathematical tools and applications from emission- and transmission-computed tomography to multiple target tracking and distributed sensor detection. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Language: English
Published by Artech House on Demand, 2014
ISBN 10: 1608075532 ISBN 13: 9781608075539
Seller: California Books, Miami, FL, U.S.A.
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Published by Artech House on Demand, 2014
ISBN 10: 1608075532 ISBN 13: 9781608075539
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Artech House on Demand, 2014
ISBN 10: 1608075532 ISBN 13: 9781608075539
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Published by Artech House Publishers, 2014
ISBN 10: 1608075532 ISBN 13: 9781608075539
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Published by Artech House on Demand, 2014
ISBN 10: 1608075532 ISBN 13: 9781608075539
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Published by Springer International Publishing, Springer International Publishing, 2021
ISBN 10: 3030611930 ISBN 13: 9783030611934
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book shows that the analytic combinatorics (AC) method encodes the combinatorial problems of multiple object tracking-without information loss-into the derivatives of a generating function (GF). The book lays out an easy-to-follow path from theory to practice and includes salient AC application examples. Since GFs are not widely utilized amongst the tracking community, the book takes the reader from the basics of the subject to applications of theory starting from the simplest problem of single object tracking, and advancing chapter by chapter to more challenging multi-object tracking problems. Many established tracking filters (e.g., Bayes-Markov, PDA, JPDA, IPDA, JIPDA, CPHD, PHD, multi-Bernoulli, MBM, LMBM, and MHT) are derived in this manner with simplicity, economy, and considerable clarity. The AC method gives significant and fresh insights into the modeling assumptions of these filters and, thereby, also shows the potential utility of various approximation methods that are well established techniques in applied mathematics and physics, but are new to tracking. These unexplored possibilities are reviewed in the final chapter of the book.
Language: English
Published by Springer International Publishing, 2020
ISBN 10: 3030611906 ISBN 13: 9783030611903
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book shows that the analytic combinatorics (AC) method encodes the combinatorial problems of multiple object tracking-without information loss-into the derivatives of a generating function (GF). The book lays out an easy-to-follow path from theory to practice and includes salient AC application examples. Since GFs are not widely utilized amongst the tracking community, the book takes the reader from the basics of the subject to applications of theory starting from the simplest problem of single object tracking, and advancing chapter by chapter to more challenging multi-object tracking problems. Many established tracking filters (e.g., Bayes-Markov, PDA, JPDA, IPDA, JIPDA, CPHD, PHD, multi-Bernoulli, MBM, LMBM, and MHT) are derived in this manner with simplicity, economy, and considerable clarity. The AC method gives significant and fresh insights into the modeling assumptions of these filters and, thereby, also shows the potential utility of various approximation methods that are well established techniques in applied mathematics and physics, but are new to tracking. These unexplored possibilities are reviewed in the final chapter of the book.
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Add to basketHardcover. Condition: Brand New. 237 pages. 9.25x6.10x0.79 inches. In Stock.
Condition: Sehr gut. Zustand: Sehr gut | Seiten: 273 | Sprache: Englisch | Produktart: Bücher | "Poisson Point Processes provides an overview of non-homogeneous and multidimensional Poisson point processes and their numerous applications. Readers will find constructive mathematical tools and applications ranging from emission and transmission computed tomography to multiple target tracking and distributed sensor detection, written from an engineering perspective. A valuable discussion of the basic properties of finite random sets is included. Maximum likelihood estimation techniques are discussed for several parametric forms of the intensity function, including Gaussian sums, together with their Cramer-Rao bounds. These methods are then used to investigate:-Several medical imaging techniques, including positron emission tomography (PET), single photon emission computed tomography (SPECT), and transmission tomography (CT scans)-Various multi-target and multi-sensor tracking applications,-Practical applications in areas like distributed sensing and detection, -Related finite point processes such as marked processes, hard core processes, cluster processes, and doubly stochastic processes, Perfect for researchers, engineers and graduate students working in electrical engineering and computer science, Poisson Point Processes will prove to be an extremely valuable volume for those seeking insight into the nature of these processes and their diverse applications.
Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketPaperback. Condition: Brand New. 237 pages. 9.25x6.10x0.63 inches. In Stock.
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. 2023rd edition NO-PA16APR2015-KAP.