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首页> 外文会议>2013 Seventh International Conference on Distributed Smart Cameras >Distributed FPGA-based smart camera architecture for computer vision applications
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Distributed FPGA-based smart camera architecture for computer vision applications

机译：适用于计算机视觉应用的基于FPGA的分布式智能相机架构

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Smart camera networks (SCN) raise challenging issues in many fields of research, including vision processing, communication protocols, distributed algorithms or power management. Furthermore, application logic in SCN is not centralized but spread among network nodes meaning that each node must have to process images to extract significant features, and aggregate data to understand the surrounding environment. In this context, smart camera have first embedded general purpose processor (GPP) for image processing. Since image resolution increases, GPPs have reached their limit to maintain real-time processing constraint. More recently, FPGA-based platforms have been studied for their massive parallelism capabilities. This paper present our new FPGA-based smart camera platform supporting cooperation between nodes and run-time updatable image processing. The architecture is based on a full reconfigurable pipeline driven by a softcore.
机译：智能相机网络（SCN）在许多研究领域提出了具有挑战性的问题，包括视觉处理，通信协议，分布式算法或电源管理。此外，SCN中的应用程序逻辑不是集中的，而是散布在网络节点之间，这意味着每个节点必须必须处理图像以提取重要特征，并汇总数据以了解周围的环境。在这种情况下，智能相机首先具有用于图像处理的嵌入式通用处理器（GPP）。由于图像分辨率提高，GPP已达到其极限以维持实时处理约束。最近，已经研究了基于FPGA的平台的强大并行能力。本文介绍了我们新的基于FPGA的智能相机平台，该平台支持节点之间的协作以及运行时可更新的图像处理。该架构基于由软核驱动的完整的可重新配置管道。

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