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Semi-wildlife gait patterns classification using Statistical Methods and Artificial Neural Networks

 

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Opened Access Semi-wildlife gait patterns classification using Statistical Methods and Artificial Neural Networks
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Author: Gutiérrez Galán, Daniel
Domínguez Morales, Juan Pedro
Miró Amarante, María Lourdes
Gómez Rodríguez, Francisco de Asís
Domínguez Morales, Manuel Jesús
Rivas Pérez, Manuel
Jiménez Fernández, Ángel Francisco
Linares Barranco, Alejandro
Department: Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores
Date: 2017
Published in: IJCNN 2017 : International Joint Conference on Neural Networks (2017), p 4036-4043
ISBN/ISSN: 978-1-5090-6182-2
2161-4407
Document type: Presentation
Abstract: Several studies have focused on classifying behavioral patterns in wildlife and captive species to monitor their activities and so to understanding the interactions of animals and control their welfare, for biological research or commercial purp...
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Cite: Gutiérrez Galán, D., Domínguez Morales, J.P., Miró Amarante, M.L., Gómez Rodríguez, F.d.A., Domínguez Morales, M.J., Rivas Pérez, M.,...,Linares Barranco, A. (2017). Semi-wildlife gait patterns classification using Statistical Methods and Artificial Neural Networks. En IJCNN 2017 : International Joint Conference on Neural Networks (4036-4043), Anchorage, USA: IEEE Computer Society.
Size: 621.1Kb
Format: PDF

URI: https://hdl.handle.net/11441/87950

DOI: 10.1109/IJCNN.2017.7966365

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