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Distributed Embedded Smart Cameras [electronic resource] : Architectures, Design and Applications / edited by Christophe Bobda, Senem Velipasalar.

Contributor(s): Publisher: New York, NY : Springer New York : Imprint: Springer, 2014Description: XIV, 273 p. 131 illus., 110 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781461477051
Subject(s): Genre/Form: Additional physical formats: Printed edition:: No titleDDC classification:
  • 621.382 23
LOC classification:
  • TK5102.9
  • TA1637-1638
  • TK7882.S65
Online resources:
Contents:
Platforms and Architectures for Distributed Smart Cameras -- A Survey of Systems-on-Chip Solutions for Smart Cameras -- Reconfigurable Architectures for Distributed Smart Cameras -- Design and Verification Environment for High-Performance Video-Based Embedded Systems -- Distributed Mobile Computer Vision: 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.
In: Springer eBooksSummary: 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.
Item type: eBooks
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Platforms and Architectures for Distributed Smart Cameras -- A Survey of Systems-on-Chip Solutions for Smart Cameras -- Reconfigurable Architectures for Distributed Smart Cameras -- Design and Verification Environment for High-Performance Video-Based Embedded Systems -- Distributed Mobile Computer Vision: 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.

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.

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