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Automated Visual Monitoring of Nesting Seabirds

By Patrick Dickinson, Chunmei Qing, Robin Freeman and Shaun Lawson

Abstract

Seabird populations are considered an important and accessible indicator of the health of marine environments: variations have been linked with climate change and pollution [9], as well as changes in fish stock levels. However, manual monitoring of large populations is labour-intensive, and so necessarily limited in scope. In this paper we present work currently being conducted as a pilot to develop computer vision as a means of automatically monitoring nesting birds. The long-term objective is to provide ecology researchers with behavioural data on a scale not currently available. We begin by describing the context and objectives for our work, which are centred around on-going manual monitoring of a specific population of Common Guillemots on Skomer Island, West Wales (UK). Thi

Year: 2013
OAI identifier: oai:CiteSeerX.psu:10.1.1.353.1250
Provided by: CiteSeerX
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