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Erschienen in:
2019 | OriginalPaper | Buchkapitel
Newtrap: Improving Biodiversity Surveys by Enhanced Handling of Visual Observations
verfasst von : Yoanne Didry, Xavier Mestdagh, Thomas Tamisier
Erschienen in: Cooperative Design, Visualization, and Engineering
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Abstract
Biodiversity measuring calls for massive capture of in situ fauna observations over a long period. The present research aims at reducing the cost and the bias of the measures by limiting human intervention for producing those observations. It is based on a integrated infrastructure made of an automated underwater camera trap and a collaborative visual interface to analyze, process and manage the observations. In a latter stage, the infrastructure will be complemented with full image processing and machine learning capabilities to automate as much as possible the handling and exploitation of the observations.