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Distributed FPGA-based smart camera architecture for computer vision applications

Abstract : 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.
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https://hal.archives-ouvertes.fr/hal-01186091
Contributor : Cedric Bourrasset <>
Submitted on : Monday, August 24, 2015 - 12:27:23 PM
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Cédric Bourrasset, Luca Maggiani, Jocelyn Sérot, François Berry, Paolo Pagano. Distributed FPGA-based smart camera architecture for computer vision applications. International Conference on Distributed Smart Cameras 2013, IEEE/ACM, Oct 2013, Palm Springs, United States. ⟨10.1109/ICDSC.2013.6778245⟩. ⟨hal-01186091⟩

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