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

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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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