Automatic Lesser Kestrel’s Gender Identification using Video Processing

Javier M. Mora-Merchan, Enrique Personal, Diego Francisco Larios, Francisco Javier Molina, Juan Carlos Tejero, Carlos Leon

Abstract

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.

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Paper Citation


in Harvard Style

Mora-Merchan J., Personal E., Larios D., Molina F., Tejero J. and Leon C. (2017). Automatic Lesser Kestrel’s Gender Identification using Video Processing . In Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 1: SIGMAP, (ICETE 2017) ISBN 978-989-758-260-8, pages 58-63. DOI: 10.5220/0006397000580063


in Bibtex Style

@conference{sigmap17,
author={Javier M. Mora-Merchan and Enrique Personal and Diego Francisco Larios and Francisco Javier Molina and Juan Carlos Tejero and Carlos Leon},
title={Automatic Lesser Kestrel’s Gender Identification using Video Processing},
booktitle={Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 1: SIGMAP, (ICETE 2017)},
year={2017},
pages={58-63},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006397000580063},
isbn={978-989-758-260-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 1: SIGMAP, (ICETE 2017)
TI - Automatic Lesser Kestrel’s Gender Identification using Video Processing
SN - 978-989-758-260-8
AU - Mora-Merchan J.
AU - Personal E.
AU - Larios D.
AU - Molina F.
AU - Tejero J.
AU - Leon C.
PY - 2017
SP - 58
EP - 63
DO - 10.5220/0006397000580063