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Authors: Javier M. Mora-Merchan 1 ; Enrique Personal 1 ; Diego Francisco Larios 1 ; Francisco Javier Molina 1 ; Juan Carlos Tejero 2 and Carlos Leon 1

Affiliations: 1 University of Seville, Spain ; 2 University of Malaga, Spain

Keyword(s): Video Processing, Pattern Recognition, Animal Surveillance, Gender Classification.

Related Ontology Subjects/Areas/Topics: Design and Implementation of Signal Processing Systems ; Multimedia ; Multimedia Databases, Indexing, Recognition and Retrieval ; Multimedia Signal Processing ; Multimedia Systems and Applications ; Sensors and Multimedia ; Telecommunications

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 several formats:
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 (ICETE 2017) - SIGMAP; ISBN 978-989-758-260-8; ISSN 2184-3236, SciTePress, pages 58-63. DOI: 10.5220/0006397000580063

@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 (ICETE 2017) - SIGMAP},
year={2017},
pages={58-63},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006397000580063},
isbn={978-989-758-260-8},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on e-Business and Telecommunications (ICETE 2017) - SIGMAP
TI - Automatic Lesser Kestrel’s Gender Identification using Video Processing
SN - 978-989-758-260-8
IS - 2184-3236
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
PB - SciTePress

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