Distributed Embedded Smart Cameras

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Architectures, Design and Applications

ISBN: 1461477042
ISBN 13: 9781461477044
Herausgeber: Christophe Bobda/Senem Velipasalar
Verlag: Springer Verlag GmbH
Umfang: xiv, 273 S., 21 s/w Illustr., 110 farbige Illustr., 273 p. 131 illus., 110 illus. in color.
Erscheinungsdatum: 05.06.2014
Auflage: 1/2014
Produktform: Gebunden/Hardback
Einband: GEB

This publication addresses distributed embedded smart cameras -cameras that perform onboard analysis and collaborate with other cameras. This book provides the material required to better understand the architectural design challenges of embedded smart camera systems, the hardware/software ecosystem, the design approach for, and applications of distributed smart cameras together with the state-of-the-art algorithms. The authors concentrate on the architecture, hardware/software design, realization of smart camera networks from applications to architectures, in particular in the embedded and mobile domains.-                    Examines energy issues related to wireless communication such as decreasing energy consumption to increase battery-life –                    Discusses processing large volumes of video data on an embedded environment in real-time –                    Covers design of realistic applications of distributed and embedded smart cameras

Artikelnummer: 4624190 Kategorie:

Beschreibung

InhaltsangabeIntroduction (historical perspective, leading up to Distributed Embedded Smart Camera Systems).- Challenges of Distributed Embedded Smart Cameras.- Limited processing power.- Limited memory.- Limited energy.- Wireless communication.- Mobility.- Technology and Architectures for Distributed Embedded Smart Cameras.- Image capture technology.- Processing platforms.- Communication interfaces.- Design Flow.- Specification Languages.- Design Environment.- Verification and Validation.- System Synthesis.- Applications.- 3D reconstruction.- Distributed people tracking and event detection.- Traffic applications, e.g. vehicle tracking and brake light detection.- Mobile applications.

Autorenporträt

Dr. Bobda is an associate professor at the University of Arkansas. Dr. Velipasalar is an assistant professor at Syracuse University.

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