Distributed Visual Processing

  • Andrea Cavallaro. Distributed Visual Processing. Tutorial at IEEE International Conference on Image Processing, 2016.
    [BibTeX] [Abstract]

    This tutorial will cover fundamental aspects, challenges and current solutions in distributed visual processing using networks of self-organising wired and wireless smart cameras, with applications in robotics, security and the Internet-of-Things. The tutorial sets forth the state-of-the-art in state estimation and coalition formation for distributed smart cameras. The tutorial will discuss and demonstrate the latest algorithms with a unified and comprehensive coverage. Using practical examples and illustration as support, the tutorial will introduce the participants in a discussion of the advantages and the limitations of traditional and modern approaches for synchronisation, distributed estimation and distributed processing for decision making and actuation in camera networks. Recent methods will be presented that allow cameras to move and to interact locally forming coalitions adaptively in order to provide coordinated decisions under resource and physical constraints. The tutorial will also discuss how cameras may learn to improve their performance. I will conclude the tutorial by introducing a collection of software resources to help the attendees develop and test distributed signal processing algorithms for wireless smart cameras.

    @Misc{2016-09-CAVALLAROb,
    author = {Andrea Cavallaro},
    title = {{Distributed Visual Processing}},
    howpublished = {Tutorial at IEEE International Conference on Image Processing},
    date = {2016-09-25/2016-09-28},
    year = {2016},
    address = {Phoenix, USA},
    abstract = {This tutorial will cover fundamental aspects, challenges and current solutions in distributed visual processing using networks of self-organising wired and wireless smart cameras, with applications in robotics, security and the Internet-of-Things. The tutorial sets forth the state-of-the-art in state estimation and coalition formation for distributed smart cameras. The tutorial will discuss and demonstrate the latest algorithms with a unified and comprehensive coverage. Using practical examples and illustration as support, the tutorial will introduce the participants in a discussion of the advantages and the limitations of traditional and modern approaches for synchronisation, distributed estimation and distributed processing for decision making and actuation in camera networks. Recent methods will be presented that allow cameras to move and to interact locally forming coalitions adaptively in order to provide coordinated decisions under resource and physical constraints. The tutorial will also discuss how cameras may learn to improve their performance. I will conclude the tutorial by introducing a collection of software resources to help the attendees develop and test distributed signal processing algorithms for wireless smart cameras.}
    }

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