Publicado

2014-09-01

Automatic detection of bumblebees using video analysis

Detección automática de abejorros usando análisis de video

DOI:

https://doi.org/10.15446/dyna.v81n187.40475

Palabras clave:

Support Vector Machine classifier, Viola-Jones classifier, bumblebee detection (en)
Clasificador tipo Support Vector Machine, Clasificador tipo Viola-Jones, detección de abejorros (es)

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Autores/as

  • Willy Azarcoya-Cabiedes Instituto Politécnico Nacional
  • Pablo Vera-Alfaro Instituto Politécnico Nacional
  • Alfonso Torres-Ruiz Koppert de México S. A.
  • Joaquín Salas-Rodríguez Instituto Politécnico Nacional
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.
En este documento exploramos y desarrollamos técnicas para la detección de abejorros que vuelan libremente dentro de un invernadero, en donde las condiciones de iluminación no son controladas y ningún artefacto es colocado en sus cuerpos. En particular, comparamos clasificadores Viola-Jones y Máquinas de Soporte Vectorial (SVM) en su uso para la detección de abejorros. Nuestros datos muestran que el SVM ofrece mejores resultados de clasificación.

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Citas

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Derechos de autor 2014 DYNA

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