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Vision-based discrimination of tuna individuals in grow-out cages through a fish bending model

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Vision-based discrimination of tuna individuals in grow-out cages through a fish bending model

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Atienza-Vanacloig, V.; Andreu García, G.; López García, F.; Valiente González, JM.; Puig Pons, V. (2016). Vision-based discrimination of tuna individuals in grow-out cages through a fish bending model. Computers and Electronics in Agriculture. 130:142-150. https://doi.org/10.1016/j.compag.2016.10.009

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/78418

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Title: Vision-based discrimination of tuna individuals in grow-out cages through a fish bending model
Author: Atienza-Vanacloig, Vicente Andreu García, Gabriela López García, Fernando Valiente González, José Miguel Puig Pons, Vicente
UPV Unit: Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica
Universitat Politècnica de València. Instituto Universitario de Automática e Informática Industrial - Institut Universitari d'Automàtica i Informàtica Industrial
Issued date:
Abstract:
This paper proposes a robust deformable adaptive 2D model, based on computer vision methods, that automatically fits the body (ventral silhouette) of Bluefin tuna while swimming. Our model (without human intervention) ...[+]
Subjects: Shape modelling , Fish detection , Underwater video processing , Computer vision , Image segmentation , Automatic biomass estimation
Copyrigths: Reserva de todos los derechos
Source:
Computers and Electronics in Agriculture. (issn: 0168-1699 )
DOI: 10.1016/j.compag.2016.10.009
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.compag.2016.10.009
Project ID:
info:eu-repo/grantAgreement/EC//2013%2F410%2FEU/EU/Sistema de medida de biomasa en transferencias atún rojo por técnicas acústicas/BIACOP/
info:eu-repo/grantAgreement/MINECO//CTM2015-70446-R/ES/ACUSTICA Y BIOMETRIA DEL ATUN ROJO (THUNNUS THYNNUS)  /
Thanks:
This work was partially supported by the EU Commission [2013/410/EU] (BIACOP project). We acknowledge funding of ACUSTUNA project ref. CTM2015-70446-R (MINECO/FEDER, UE).
Type: Artículo

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