Fundamentals Of Object Tracking

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Fundamentals of Object Tracking

Author	:
Publisher	: Cambridge University Press
Total Pages	: 389
Release	: 2011-07-28
ISBN-10	: 9780521876285
ISBN-13	: 0521876281
Rating	: 4/5 (281 Downloads)

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Book Synopsis Fundamentals of Object Tracking by :

Download or read book Fundamentals of Object Tracking written by and published by Cambridge University Press. This book was released on 2011-07-28 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces object tracking algorithms from a unified, recursive Bayesian perspective, along with performance bounds and illustrative examples.

Fundamentals of Object Tracking Related Books

Language: en
Pages: 389

Fundamentals of Object Tracking

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Categories: Mathematics

Type: BOOK - Published: 2011-07-28 - Publisher: Cambridge University Press

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Introduces object tracking algorithms from a unified, recursive Bayesian perspective, along with performance bounds and illustrative examples.

Language: en
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Analytic Combinatorics for Multiple Object Tracking

Authors: Roy Streit

Categories: Technology & Engineering

Type: BOOK - Published: 2020-11-26 - Publisher: Springer Nature

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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 t

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Computer Vision and Image Processing

Authors: Manas Kamal Bhuyan

Categories: Computers

Type: BOOK - Published: 2019-11-05 - Publisher: CRC Press

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The book familiarizes readers with fundamental concepts and issues related to computer vision and major approaches that address them. The focus of the book is o

Language: en
Pages: 375

Fundamentals of Object Tracking

Authors:

Categories: Linear programming

Type: BOOK - Published: 2011 - Publisher:

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"Kalman filter, particle filter, IMM, PDA, ITS, random sets ... The number of useful object tracking methods is exploding. But how are they related? How do they

Language: en
Pages: 599

Computer Vision

Authors: Simon J. D. Prince

Categories: Computers

Type: BOOK - Published: 2012-06-18 - Publisher: Cambridge University Press

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A modern treatment focusing on learning and inference, with minimal prerequisites, real-world examples and implementable algorithms.