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dc.contributor.author | Atienza-Vanacloig, Vicente | es_ES |
dc.contributor.author | Andreu García, Gabriela | es_ES |
dc.contributor.author | López García, Fernando | es_ES |
dc.contributor.author | Valiente González, José Miguel | es_ES |
dc.contributor.author | Puig Pons, Vicente | es_ES |
dc.date.accessioned | 2017-03-01T12:27:08Z | |
dc.date.available | 2017-03-01T12:27:08Z | |
dc.date.issued | 2016-11-15 | |
dc.identifier.issn | 0168-1699 | |
dc.identifier.uri | http://hdl.handle.net/10251/78418 | |
dc.description.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) adjusts to fish shape and size, obtaining fish orientation, bending to fit their flexion motion and has proved robust enough to overcome possible segmentation inaccuracies. Once the model has been successfully fitted to the fish it can ensure that the detected object is a tuna and not parts of fish or other objects. Automatic requirements of the fishing industry like biometric measurement, specimen counting or catch biomass estimation could then be addressed using a stereoscopic system and meaningful information extracted from our model. We also introduce a fitting procedure based on a fitting parameter - Fitting Error Index (FEI) - which permits us to know the quality of the results. In the experiments our model has achieved very high success rates (up to 90%) discriminating individuals in highly complex images acquired for us in real conditions in the Mediterranean Sea. Conclusions and future improvements to the proposed model are also discussed. | es_ES |
dc.description.sponsorship | 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). | en_EN |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Computers and Electronics in Agriculture | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Shape modelling | es_ES |
dc.subject | Fish detection | es_ES |
dc.subject | Underwater video processing | es_ES |
dc.subject | Computer vision | es_ES |
dc.subject | Image segmentation | es_ES |
dc.subject | Automatic biomass estimation | es_ES |
dc.subject.classification | ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES | es_ES |
dc.title | Vision-based discrimination of tuna individuals in grow-out cages through a fish bending model | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.compag.2016.10.009 | |
dc.relation.projectID | info:eu-repo/grantAgreement/EC//2013%2F410%2FEU/EU/Sistema de medida de biomasa en transferencias atún rojo por técnicas acústicas/BIACOP/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//CTM2015-70446-R/ES/ACUSTICA Y BIOMETRIA DEL ATUN ROJO (THUNNUS THYNNUS)  / | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Instituto Universitario de Automática e Informática Industrial - Institut Universitari d'Automàtica i Informàtica Industrial | es_ES |
dc.description.bibliographicCitation | 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 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1016/j.compag.2016.10.009 | es_ES |
dc.description.upvformatpinicio | 142 | es_ES |
dc.description.upvformatpfin | 150 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 130 | es_ES |
dc.relation.senia | 327916 | es_ES |
dc.contributor.funder | Ministerio de Economía y Competitividad | es_ES |
dc.contributor.funder | European Commission | es_ES |