Ponencia
Automatic Lesser Kestrel’s Gender Identification using Video Processing
Autor/es | Mora-Merchán, Javier María
Personal Vázquez, Enrique Larios Marín, Diego Francisco Molina Cantero, Francisco Javier Tejero, Juan Carlos León de Mora, Carlos |
Departamento | Universidad de Sevilla. Departamento de Tecnología Electrónica |
Fecha de publicación | 2017 |
Fecha de depósito | 2018-07-09 |
Publicado en |
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ISBN/ISSN | 978-989-758-260-8 |
Resumen | Traditionally, animal surveillance is a common task for biologists. However, this task is often accompanied
by the inspection of huge amounts of video. In this sense, this paper proposes an automatic video processing
algorithm ... Traditionally, animal surveillance is a common task for biologists. However, this task is often accompanied by the inspection of huge amounts of video. In this sense, this paper proposes an automatic video processing algorithm to identify the gender of a kestrel species. It is based on optical flow and texture analysis. This algorithm makes it possible to identify the important information and therefore, minimizing the analysis time for biologists. Finally, to validate this algorithm, it has been tested against a set of videos, getting good classification results. |
Agencias financiadoras | Junta de Andalucía |
Identificador del proyecto | P10-TIC-5705 |
Cita | Mora Merchán, J.M., Personal Vázquez, E., Larios Marín, D.F., Molina Cantero, F.J., Tejero, J.C. y León de Mora, C. (2017). Automatic Lesser Kestrel’s Gender Identification using Video Processing. En SIGMAP (ICETE 2017): 14th International Joint Conference on e-Business and Telecommunications (58-63), Madrid, España: ScitePress. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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Automatic Lesser.pdf | 1.027Mb | [PDF] | Ver/ | |