A visual sensing platform for creating a smarter multi-modal marine monitoring network

  • Authors:
  • Dian Zhang;Edel O'Connor;Kevin McGuinness;Noel Edward O'Connor;Fiona Regan;Alan Smeaton

  • Affiliations:
  • CLARITY, Dublin City University, Dublin, Ireland;CLARITY, Dublin City University, Dublin, Ireland;CLARITY, Dublin City University, Dublin, Ireland;CLARITY, Dublin City University, Dublin, Ireland;MESTECH, Dublin City University, Dublin, Ireland;CLARITY, Dublin City University, Dublin, Ireland

  • Venue:
  • Proceedings of the 1st ACM international workshop on Multimedia analysis for ecological data
  • Year:
  • 2012

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Abstract

Demands from various scientific and management communities along with legislative requirements at national and international levels have led to a need for innovative research into large-scale, low-cost, reliable monitoring of our marine and freshwater environments. In this paper we demonstrate the benefits of a multi-modal approach to monitoring and how an in-situ sensor network can be enhanced with the use of contextual image data. We provide an outline of the deployment of a visual sensing system at a busy port and the need for monitoring shipping traffic at the port. Subsequently we present an approach for detecting ships in a challenging image dataset and discuss how this can help to create an intelligent marine monitoring network.