Automatic detection of bumblebees using video analysis
In this document, we explore and develop techniques to automatically detect bumblebees flying freely inside a greenhouse, where illumination conditions are left unconstrained, and no artifact is used on their bodies. Specifically, we compare a Viola-Jones classifier and a Support Vector Machine (SVM...
- Autores:
-
Azarcoya-Cabiedes, Willy
Vera-Alfaro, Pablo
Torres-Ruiz, Alfonso
Salas-Rodríguez, Joaquín
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2014
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/50477
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/50477
http://bdigital.unal.edu.co/44474/
http://bdigital.unal.edu.co/44474/3/6633
- Palabra clave:
- Support Vector Machine classifier
Viola-Jones classifier
bumblebee detection
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
| Summary: | In this document, we explore and develop techniques to automatically detect bumblebees flying freely inside a greenhouse, where illumination conditions are left unconstrained, and no artifact is used on their bodies. Specifically, we compare a Viola-Jones classifier and a Support Vector Machine (SVM) classifier to detect the presence of bumblebees. Our results show that the latter has a better classification performance. |
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