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

Zhang, Dian ORCID: 0000-0001-5659-5865, O'Connor, Edel, McGuinness, Kevin ORCID: 0000-0003-1336-6477, O'Connor, Noel E. ORCID: 0000-0002-4033-9135, Regan, Fiona ORCID: 0000-0002-8273-9970 and Smeaton, Alan F. ORCID: 0000-0003-1028-8389 (2012) A visual sensing platform for creating a smarter multi-modal marine monitoring network. In: [MAED] Workshop on Multimedia Analysis for Ecological Data, ACMMM12, 29 Oct - 02 Nov 2012 , Nara Prefectural New Public Hall, Japan.

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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 data set and discuss how this can help to create an intelligent marine monitoring network.

Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:Yes
Uncontrolled Keywords:Sensor networks; Environmental monitoring; Marine environments
Subjects:Physical Sciences > Environmental chemistry
DCU Faculties and Centres:Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:CLARITY, Questor, MESTECH
ID Code:17634
Deposited On:17 Jun 2013 09:35 by Mr. Dian Zhang . Last Modified 09 Oct 2019 13:41

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