Smart cameras were conceived to provide scalable solutions to automatic video analysis applications, such as surveillance and\nmonitoring. Since then, many algorithms and system architectures have been proposed, which use smart cameras to distribute\nfunctionality and save bandwidth. Still, smart cameras are rarely used in commercial systems and real installations. In this paper,\nwe investigate the reason behind the scarce commercial usage of smart cameras. We found that, in order to achieve scalability,\nsmart cameras put additional constraints on the quality of input data to the vision algorithms, making it an unfavourable choice\nfor future multicamera systems. We recognized that these constraints can be relaxed by following a cloud based hub architecture\nand propose a cloud entity, SmartHub, which provides a scalable solution with reduced constraints on the quality. A framework is\nproposed for designing SmartHub system for a given camera placement. Experiments show the efficacy of SmartHub based systems\nin multicamera scenarios.
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