Camera coalitions

  • Andrea Cavallaro. Camera coalitions. Invited talk at IEEE-EURASIP Summer School on Signal Processing (S3P-2016), 2016.
    [BibTeX] [Abstract]

    Cameras are everywhere. Miniature high-quality cameras are increasingly worn by people, mounted on dashboards and micro-drones, omnipresent in hallways, streets and stores; and in your smartphone. Countless applications will benefit from the capabilities offered by networks of wireless cameras that can autonomously sense, compute, decide and communicate. These networks are composed of cameras whose algorithms need to adapt in response to unknown or dynamic environments and to changes in the assigned task. In this lecture I will present recent methods for cameras to move and to interact locally based on content and context, and to form coalitions that reach coordinated decisions under resource and physical constraints. I will discuss how cameras self-evaluate their performance and improve the quality of the task they are executing through collaboration, adaptively.

    @Misc{2016-09-CAVALLAROa,
    author = {Andrea Cavallaro},
    title = {{Camera coalitions}},
    howpublished = {Invited talk at IEEE-EURASIP Summer School on Signal Processing (S3P-2016)},
    date = {2016-09-04/2016-09-10},
    year = {2016},
    address = {Trento, IT},
    abstract = {Cameras are everywhere. Miniature high-quality cameras are increasingly worn by people, mounted on dashboards and micro-drones, omnipresent in hallways, streets and stores; and in your smartphone. Countless applications will benefit from the capabilities offered by networks of wireless cameras that can autonomously sense, compute, decide and communicate. These networks are composed of cameras whose algorithms need to adapt in response to unknown or dynamic environments and to changes in the assigned task. In this lecture I will present recent methods for cameras to move and to interact locally based on content and context, and to form coalitions that reach coordinated decisions under resource and physical constraints. I will discuss how cameras self-evaluate their performance and improve the quality of the task they are executing through collaboration, adaptively.}
    }

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