- -

Automatic Bluefin Tuna Sizing with a Combined Acoustic and Optical Sensor

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

  • Estadisticas de Uso

Automatic Bluefin Tuna Sizing with a Combined Acoustic and Optical Sensor

Show simple item record

Files in this item

dc.contributor.author Muñoz-Benavent, Pau es_ES
dc.contributor.author Puig Pons, Vicente es_ES
dc.contributor.author Andreu García, Gabriela es_ES
dc.contributor.author Espinosa Roselló, Víctor es_ES
dc.contributor.author Atienza-Vanacloig, Vicente es_ES
dc.contributor.author Pérez Arjona, Isabel es_ES
dc.date.accessioned 2021-11-05T14:08:15Z
dc.date.available 2021-11-05T14:08:15Z
dc.date.issued 2020-09 es_ES
dc.identifier.uri http://hdl.handle.net/10251/176322
dc.description.abstract [EN] A proposal is described for an underwater sensor combining an acoustic device with an optical one to automatically size juvenile bluefin tuna from a ventral perspective. Acoustic and optical information is acquired when the tuna are swimming freely and the fish cross our combined sensor's field of view. Image processing techniques are used to identify and classify fish traces in acoustic data (echogram), while the video frames are processed by fitting a deformable model of the fishes' ventral silhouette. Finally, the fish are sized combining the processed acoustic and optical data, once the correspondence between the two kinds of data is verified. The proposed system is able to automatically give accurate measurements of the tuna's Snout-Fork Length (SFL) and width. In comparison with our previously validated automatic sizing procedure with stereoscopic vision, this proposal improves the samples per hour of computing time by 7.2 times in a tank with 77 juveniles of Atlantic bluefin tuna (Thunnus thynnus), without compromising the accuracy of the measurements. This work validates the procedure for combining acoustic and optical data for fish sizing and is the first step towards an embedded sensor, whose electronics and processing capabilities should be optimized to be autonomous in terms of the power supply and to enable real-time processing. es_ES
dc.description.sponsorship This work was supported by funding from ACUSTUNA project ref. CTM2015-70446-R (MINECO/ERDF, EU) and PAID-10-19 (UPV). es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Sensors es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Underwater acoustics es_ES
dc.subject Underwater computer vision es_ES
dc.subject Fishery management es_ES
dc.subject Fish sizing es_ES
dc.subject Biomass estimation es_ES
dc.subject Automatic 3D measurements es_ES
dc.subject.classification FISICA APLICADA es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.title Automatic Bluefin Tuna Sizing with a Combined Acoustic and Optical Sensor es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/s20185294 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//CTM2015-70446-R//ACUSTICA Y BIOMETRIA DEL ATUN ROJO (THUNNUS THYNNUS)/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UPV-VIN//PAID-10-19//Técnicas avanzadas de visión por computador para identificación y seguimiento en entornos naturales./ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto de Investigación para la Gestión Integral de Zonas Costeras - Institut d'Investigació per a la Gestió Integral de Zones Costaneres es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada es_ES
dc.description.bibliographicCitation Muñoz-Benavent, P.; Puig Pons, V.; Andreu García, G.; Espinosa Roselló, V.; Atienza-Vanacloig, V.; Pérez Arjona, I. (2020). Automatic Bluefin Tuna Sizing with a Combined Acoustic and Optical Sensor. Sensors. 20(18):1-17. https://doi.org/10.3390/s20185294 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/s20185294 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 17 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 20 es_ES
dc.description.issue 18 es_ES
dc.identifier.eissn 1424-8220 es_ES
dc.identifier.pmid 32947871 es_ES
dc.identifier.pmcid PMC7570701 es_ES
dc.relation.pasarela S\420874 es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder UNIVERSIDAD POLITECNICA DE VALENCIA es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES


This item appears in the following Collection(s)

Show simple item record