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Background modeling and foreground d...

Bouwmans, Thierry.

Background modeling and foreground detection for video surveillance /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Background modeling and foreground detection for video surveillance // edited by Thierry Bouwmans ... [et al.].
other author:	Bouwmans, Thierry.
Published:	Boca Raton, Florida :CRC Press, : c2015.,
Description:	1 v. (various pagings) :ill. (some col.) ; : 27 cm.;
Subject:	Video surveillance. -
ISBN:	9781482205374 :

Background modeling and foreground detection for video surveillance /
Background modeling and foreground detection for video surveillance /edited by Thierry Bouwmans ... [et al.]. - Boca Raton, Florida :CRC Press,c2015. - 1 v. (various pagings) :ill. (some col.) ;27 cm.

Includes bibliographical references and index.

Background Modeling and Foreground Detection for Video Surveillance, 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. Features, Brings together the methods, practical implementations, and evaluation practices of background modeling and foreground detection in one resource, Includes an introduction for beginners that covers traditional and recent approaches for both static and moving cameras, Describes statistical models, clustering models, neural networks, and fuzzy models, Discusses various strategies to deal with dynamic backgrounds and illumination changes, such as automatic feature selection, hierarchical models, and GPU implementations of methods, Offers the datasets and code used in the book on a supplementary website, A one-stop resource on up-to-date models, algorithms, implementations, and benchmarking techniques, this book helps you 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. Book jacket.

ISBN: 9781482205374 :NT3176

Nat. Bib. No.: GBB495048bnbSubjects--Topical Terms:

720462
Video surveillance.

LC Class. No.: TK6680.3 / .B33 2015

Dewey Class. No.: 621.389/28

Background modeling and foreground detection for video surveillance /
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245 0 0 $a Background modeling and foreground detection for video surveillance / $c edited by Thierry Bouwmans ... [et al.].
260 $a Boca Raton, Florida : $b CRC Press, $c c2015.
300 $a 1 v. (various pagings) : $b ill. (some col.) ; $c 27 cm.
504 $a Includes bibliographical references and index.
520 $a Background Modeling and Foreground Detection for Video Surveillance, 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. Features, Brings together the methods, practical implementations, and evaluation practices of background modeling and foreground detection in one resource, Includes an introduction for beginners that covers traditional and recent approaches for both static and moving cameras, Describes statistical models, clustering models, neural networks, and fuzzy models, Discusses various strategies to deal with dynamic backgrounds and illumination changes, such as automatic feature selection, hierarchical models, and GPU implementations of methods, Offers the datasets and code used in the book on a supplementary website, A one-stop resource on up-to-date models, algorithms, implementations, and benchmarking techniques, this book helps you 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. Book jacket.
650 0 $a Video surveillance. $3 720462
650 0 $a Optical pattern recognition. $3 557494
700 1 $a Bouwmans, Thierry. $3 1051765