Automatic Identification of Flying Bird Species Using Computer Vision Technique for Ecological Data Analysis
The aim of this study is to propose a bird detection algorithm. Bird detection is useful for the counting and dynamics of bird study. Neural networks are used for bird detection and the first step is to learn to classify bird species based on previous experiments. We further develop a proof of conc...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Galati University Press
2019-12-01
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| Series: | The Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science |
| Subjects: | |
| Online Access: | https://www.gup.ugal.ro/ugaljournals/index.php/mms/article/view/2818 |
| Summary: | The aim of this study is to propose a bird detection algorithm. Bird detection is useful for the counting and dynamics of bird study. Neural networks are used for bird detection and the first step is to learn to classify bird species based on previous experiments. We further develop a proof of concept for the meta-data fusion which indicates that the fusion of elevation data can be used to increase the accuracy of the model, and to decrease its coverage error, in particular.
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| ISSN: | 2668-4748 2668-4756 |