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Titlebook: Distributed Embedded Smart Cameras; Architectures, Desig Christophe Bobda,Senem Velipasalar Book 2014 Springer Science+Business Media New Y

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书目名称Distributed Embedded Smart Cameras
副标题Architectures, Desig
编辑Christophe Bobda,Senem Velipasalar
视频video
概述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 r
图书封面Titlebook: Distributed Embedded Smart Cameras; Architectures, Desig Christophe Bobda,Senem Velipasalar Book 2014 Springer Science+Business Media New Y
描述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.
出版日期Book 2014
关键词3D Reconstruction; Battery-Powered Cameras; Camera Networks; Distributed Embedded Smart Camera Systems;
版次1
doihttps://doi.org/10.1007/978-1-4614-7705-1
isbn_softcover978-1-4939-4818-5
isbn_ebook978-1-4614-7705-1
copyrightSpringer Science+Business Media New York 2014
The information of publication is updating

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Great Britain and Northern Irelandhe training data and the learned camera link model can be continuously updated even after the tracking is started. The systematic integration of multiple features enables us to perform an effective re-identification across cameras. The pairwise learning and tracking manner also enhances the scalabil
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Automatic Fall Detection and Activity Classification by a Wearable Cameraes very challenging. On the other hand, popular ambient vision based sensors like wall mounted cameras which have resource capabilities for better activity classification are confined to a specific monitoring environment and by nature raise privacy concerns. Recently, integrated wearable sensor syst
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Consistent Human Tracking Over Self-organized and Scalable Multiple-camera Networkshe training data and the learned camera link model can be continuously updated even after the tracking is started. The systematic integration of multiple features enables us to perform an effective re-identification across cameras. The pairwise learning and tracking manner also enhances the scalabil
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Book 2014ovides 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
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