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Books > Computing & IT > Applications of computing > Image processing

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Background Modeling and Foreground Detection for Video Surveillance (Hardcover) Loot Price: R3,179
Discovery Miles 31 790
Background Modeling and Foreground Detection for Video Surveillance (Hardcover): Thierry Bouwmans, Fatih Porikli, Benjamin...

Background Modeling and Foreground Detection for Video Surveillance (Hardcover)

Thierry Bouwmans, Fatih Porikli, Benjamin Hoeferlin, Antoine Vacavant

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Loot Price R3,179 Discovery Miles 31 790 | Repayment Terms: R298 pm x 12*

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Background modeling and foreground detection are important steps in video processing used to detect robustly moving objects in challenging environments. This requires effective methods for dealing with dynamic backgrounds and illumination changes as well as algorithms that must meet real-time and low memory requirements. Incorporating both established and new ideas, Background Modeling and Foreground Detection for Video Surveillance provides a complete overview of the concepts, algorithms, and applications related to background modeling and foreground detection. Leaders in the field address a wide range of challenges, including camera jitter and background subtraction. The book presents the top methods and algorithms for detecting moving objects in video surveillance. It covers statistical models, clustering models, neural networks, and fuzzy models. It also addresses sensors, hardware, and implementation issues and discusses the resources and datasets required for evaluating and comparing background subtraction algorithms. The datasets and codes used in the text, along with links to software demonstrations, are available on the book's website. A one-stop resource on up-to-date models, algorithms, implementations, and benchmarking techniques, this book helps researchers and industry developers understand how to apply background models and foreground detection methods to video surveillance and related areas, such as optical motion capture, multimedia applications, teleconferencing, video editing, and human-computer interfaces. It can also be used in graduate courses on computer vision, image processing, real-time architecture, machine learning, or data mining.

General

Imprint: Apple Academic Press Inc.
Country of origin: Canada
Release date: July 2014
First published: 2015
Editors: Thierry Bouwmans • Fatih Porikli • Benjamin Hoeferlin • Antoine Vacavant
Dimensions: 254 x 178 x 41mm (L x W x T)
Format: Hardcover
Pages: 631
ISBN-13: 978-1-4822-0537-4
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > General
Books > Computing & IT > Applications of computing > Image processing > General
LSN: 1-4822-0537-8
Barcode: 9781482205374

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