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Assessing machine learning classifiers for the detection of animals' behavior using depth-based tracking

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Assessing machine learning classifiers for the detection of animals' behavior using depth-based tracking

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Pons Tomás, P.; Jaén Martínez, FJ.; Catalá Bolós, A. (2017). Assessing machine learning classifiers for the detection of animals' behavior using depth-based tracking. Expert Systems with Applications. 86:235-246. doi:10.1016/j.eswa.2017.05.063

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/102344

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Title: Assessing machine learning classifiers for the detection of animals' behavior using depth-based tracking
Author: Pons Tomás, Patricia Jaén Martínez, Francisco Javier Catalá Bolós, Alejandro
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
[EN] There is growing interest in the automatic detection of animals' behaviors and body postures within the field of Animal Computer Interaction, and the benefits this could bring to animal welfare, enabling remote ...[+]
Subjects: Tracking system , Animal Computer Interaction , Depth-based tracking , Classification algorithms , Intelligent system
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Expert Systems with Applications. (issn: 0957-4174 )
DOI: 10.1016/j.eswa.2017.05.063
Publisher:
Elsevier
Publisher version: http://doi.org/10.1016/j.eswa.2017.05.063
Project ID:
info:eu-repo/grantAgreement/MECD//FPU13%2F03831/ES/FPU13%2F03831/
info:eu-repo/grantAgreement/MINECO//TIN2014-60077-R/ES/SISTEMA DE TERAPIAS DE JUEGO BASADO EN SUPERFICIES INTERACTIVAS PARA LA MEJORA DEL IMPACTO EMOCIONAL DERIVADO DE LA HOSPITALIZACION PEDIATRICA/
info:eu-repo/grantAgreement/Generalitat Valenciana//APOSTD%2F2013%2F013/ES/AYUDAS PARA LA CONTRATACIÓN DE PERSONAL EN FORMACIÓN EN FASE POSTDOCTORAL. PROGRAMA VALI+D-CATALA BOLOS, ALEJANDRO/
Thanks:
This work is funded by the European Development Regional Fund (EDRF-FEDER) and supported by Spanish MINECO with Project TIN2014-60077-R. It also received support from a postdoctoral fellowship within the VALi+d Program of ...[+]
Type: Artículo

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