Distributed Embedded Smart Cameras Architectures, Design and Applications

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...

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Corporate Author: SpringerLink (Online service)
Other Authors: Bobda, Christophe (Editor), Velipasalar, Senem (Editor)
Format: eBook
Language:English
Published: New York, NY Springer New York 2014, 2014
Edition:1st ed. 2014
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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505 0 |a advances, challenges and applications -- Autonomous Tracking of Vehicle Taillights and Alert Signal Detection by Embedded Smart Cameras -- Autonomous Tracking of Vehicle Taillights and Alert Signal Detection by Embedded Smart Cameras -- Tracking by Detection Algorithms Using Multiple Cameras -- Consistent Human Tracking over Self-Organized and Scalable Multiple-Camera Networks -- Soft-biometrics and Reference Set Integrated Model for Tracking Across Cameras -- A parallel approach for statistical texture parameter calculation 
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653 |a Signal, Image and Speech Processing 
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520 |a 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