Mora-Merchán, Javier MaríaPersonal Vázquez, EnriqueLarios Marín, Diego FranciscoMolina Cantero, Francisco JavierTejero, Juan CarlosLeón de Mora, Carlos2018-07-092018-07-092017Mora 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.978-989-758-260-8https://hdl.handle.net/11441/77026Traditionally, 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.application/pdfengAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Video ProcessingPattern RecognitionAnimal SurveillanceGender Classificationinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccesshttps://doi.org/10.5220/0006397000580063