This publication addresses distributed embedded smart cameras -cameras that perform on board 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.…mehr
This publication addresses distributed embedded smart cameras -cameras that perform on board 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.
Dr. Bobda is an associate professor at the University of Arkansas. Dr. Velipasalar is an assistant professor at Syracuse University.
Inhaltsangabe
Introduction (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.
Introduction (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.
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