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  1. Proceedings of the 1st ACM international workshop on Multimedia analysis for ecological data (MAED '12)
  2. A visual sensing platform for creating a smarter multi-modal marine monitoring network
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Grass, scrub, trees and random forest
Identification of great apes using gabor features and locality preserving projections
Plant leaves morphological categorization with shared nearest neighbours clustering
Visibility cameras: where and how to look
Texture recognition for frog identification
Multi-organ plant identification
Environmental data extraction from multimedia resources
Event detection in underwater domain by exploiting fish trajectory clustering
Semantic based retrieval system of arctic animal images
An environmental search engine based on interactive visual classification
A visual sensing platform for creating a smarter multi-modal marine monitoring network
Quantitative performance analysis of object detection algorithms on underwater video footage

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

Content Provider ACM Digital Library
Author O'Connor, Noel Edward Regan, Fiona Zhang, Dian McGuinness, Kevin Smeaton, Alan O'Connor, Edel
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.
Starting Page 53
Ending Page 56
Page Count 4
File Format PDF
ISBN 9781450315883
DOI 10.1145/2390832.2390846
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2012-11-02
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Multi-modal sensing Environmental monitoring Visual sensing
Content Type Text
Resource Type Article
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