Electronic Resource

Analytic Combinatorics for Multiple Object Tracking

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Penilaian

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​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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Availability

Inventory Code	Barcode	Call Number	Location	Status
1908000807	EB0001387	511.6 Str a	Central Library (OPAC)	Available

Detail Information

Series Title

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Call Number

511.6 Str a

Publisher

Switzerland : Springer Cham., 2020

Collation

XVI, 221p.:Ill

Language

English

ISBN/ISSN

978-3-030-61191-0

Classification

511.6

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

1

Subject(s)

Combinatorial analysis

Specific Detail Info

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Statement of Responsibility

BRF

Other version/related

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