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5 results on '"Underwater computer vision"'

1. Automatic Bluefin Tuna Sizing with a Combined Acoustic and Optical Sensor

Author

Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors, 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, Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada, European Regional Development Fund, UNIVERSIDAD POLITECNICA DE VALENCIA, Ministerio de Economía y Competitividad, Muñoz-Benavent, Pau, Puig Pons, Vicente, Andreu García, Gabriela, Espinosa Roselló, Víctor, Atienza-Vanacloig, Vicente, Pérez Arjona, Isabel, Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors, 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, Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada, European Regional Development Fund, UNIVERSIDAD POLITECNICA DE VALENCIA, Ministerio de Economía y Competitividad, Muñoz-Benavent, Pau, Puig Pons, Vicente, Andreu García, Gabriela, Espinosa Roselló, Víctor, Atienza-Vanacloig, Vicente, and Pérez Arjona, Isabel

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.

Published
2020

2. Automatic Bluefin Tuna Sizing with a Combined Acoustic and Optical Sensor

Author

Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors, 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, Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada, European Regional Development Fund, UNIVERSIDAD POLITECNICA DE VALENCIA, Ministerio de Economía y Competitividad, Muñoz-Benavent, Pau, Puig Pons, Vicente, Andreu García, Gabriela, Espinosa Roselló, Víctor, Atienza-Vanacloig, Vicente, Pérez Arjona, Isabel, Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors, 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, Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada, European Regional Development Fund, UNIVERSIDAD POLITECNICA DE VALENCIA, Ministerio de Economía y Competitividad, Muñoz-Benavent, Pau, Puig Pons, Vicente, Andreu García, Gabriela, Espinosa Roselló, Víctor, Atienza-Vanacloig, Vicente, and Pérez Arjona, Isabel

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.

Published
2020

3. Automatic Bluefin Tuna (Thunnus thynnus) Biomass Estimation during Transfers Using Acoustic and Computer Vision Techniques

Author

Puig-Pons, V., Muñoz-Benavent, P., Espinosa, Víctor, Andreu-García, G., Valiente-González, J.M., Estruch, Vicente Domingo, Ordóñez, P., Pérez-Arjona, Isabel, Atienza, V., Mèlich, B., de-la-Gándara, Fernando, Santaella-Álvarez, Eladio, Puig-Pons, V., Muñoz-Benavent, P., Espinosa, Víctor, Andreu-García, G., Valiente-González, J.M., Estruch, Vicente Domingo, Ordóñez, P., Pérez-Arjona, Isabel, Atienza, V., Mèlich, B., de-la-Gándara, Fernando, and Santaella-Álvarez, Eladio

Abstract

In this work, acoustic and computer vision techniques are combined to develop an automatic procedure for biomass estimation of tuna during transfers. A side scan sonar working at 200 kHz and a stereo camera, posi- tioned facing towards the surface to record the ventral aspect of fish, are set as acquisition equipment. Moreover, a floating structure has been devised to place the sensors between cages in transfers, creating a transfer canal that allows data acquisition while fish swim from donor to receiving cage. Biomass assessment is computed by counting transferred tuna and sizing a representative sample of the stock. The number of transferred tuna is automatically deduced from acoustic echograms by means of image processing techniques, whereas tuna size is computed from the stereo videos using our automatic computer vision procedure based on a deformable model of the fish ventral silhouette. The results show that the system achieves automatic tuna counting with error below 10%, achieving around 1% error in the best configuration, and automatic tuna sizing of more than 20% of the stock, with highly accurate Snout Fork Length estimation when compared to true data from harvests. These results fulfil the requirements imposed by International Commission for the Conservation of Atlantic Tunas for compliant transfer operations.

Published
2019

4. Automatic Bluefin Tuna (Thunnus thynnus) biomass estimation during transfers using acoustic and computer vision techniques

Author

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, Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada, Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada, Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors, Ministerio de Agricultura, Alimentación y Medio Ambiente, Ministerio de Economía y Competitividad, Puig Pons, Vicente, Muñoz-Benavent, Pau, Espinosa Roselló, Víctor, Andreu García, Gabriela, Valiente González, José Miguel, Estruch, V. D., Ordoñez-Cebrian, Patricia, Pérez Arjona, Isabel, Atienza-Vanacloig, Vicente, Mèlich, Begonya, De la Gandara García, Fernando, Santaella, E., 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, Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada, Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada, Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors, Ministerio de Agricultura, Alimentación y Medio Ambiente, Ministerio de Economía y Competitividad, Puig Pons, Vicente, Muñoz-Benavent, Pau, Espinosa Roselló, Víctor, Andreu García, Gabriela, Valiente González, José Miguel, Estruch, V. D., Ordoñez-Cebrian, Patricia, Pérez Arjona, Isabel, Atienza-Vanacloig, Vicente, Mèlich, Begonya, De la Gandara García, Fernando, and Santaella, E.

Abstract

[EN] In this work, acoustic and computer vision techniques are combined to develop an automatic procedure for biomass estimation of tuna during transfers. A side scan sonar working at 200¿kHz and a stereo camera, positioned facing towards the surface to record the ventral aspect of fish, are set as acquisition equipment. Moreover, a floating structure has been devised to place the sensors between cages in transfers, creating a transfer canal that allows data acquisition while fish swim from donor to receiving cage. Biomass assessment is computed by counting transferred tuna and sizing a representative sample of the stock. The number of transferred tuna is automatically deduced from acoustic echograms by means of image processing techniques, whereas tuna size is computed from the stereo videos using our automatic computer vision procedure based on a deformable model of the fish ventral silhouette. The results show that the system achieves automatic tuna counting with error below 10%, achieving around 1% error in the best configuration, and automatic tuna sizing of more than 20% of the stock, with highly accurate Snout Fork Length estimation when compared to true data from harvests. These results fulfil the requirements imposed by International Commission for the Conservation of Atlantic Tunas for compliant transfer operations.

Published
2019

5. Automatic Bluefin Tuna (Thunnus thynnus) biomass estimation during transfers using acoustic and computer vision techniques

Author

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, Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada, Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada, Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors, Ministerio de Agricultura, Alimentación y Medio Ambiente, Ministerio de Economía y Competitividad, Puig Pons, Vicente, Muñoz-Benavent, Pau, Espinosa Roselló, Víctor, Andreu García, Gabriela, Valiente González, José Miguel, Estruch, V. D., Ordoñez-Cebrian, Patricia, Pérez Arjona, Isabel, Atienza-Vanacloig, Vicente, Mèlich, Begonya, De la Gandara García, Fernando, Santaella, E., 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, Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada, Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada, Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors, Ministerio de Agricultura, Alimentación y Medio Ambiente, Ministerio de Economía y Competitividad, Puig Pons, Vicente, Muñoz-Benavent, Pau, Espinosa Roselló, Víctor, Andreu García, Gabriela, Valiente González, José Miguel, Estruch, V. D., Ordoñez-Cebrian, Patricia, Pérez Arjona, Isabel, Atienza-Vanacloig, Vicente, Mèlich, Begonya, De la Gandara García, Fernando, and Santaella, E.

Abstract

[EN] In this work, acoustic and computer vision techniques are combined to develop an automatic procedure for biomass estimation of tuna during transfers. A side scan sonar working at 200¿kHz and a stereo camera, positioned facing towards the surface to record the ventral aspect of fish, are set as acquisition equipment. Moreover, a floating structure has been devised to place the sensors between cages in transfers, creating a transfer canal that allows data acquisition while fish swim from donor to receiving cage. Biomass assessment is computed by counting transferred tuna and sizing a representative sample of the stock. The number of transferred tuna is automatically deduced from acoustic echograms by means of image processing techniques, whereas tuna size is computed from the stereo videos using our automatic computer vision procedure based on a deformable model of the fish ventral silhouette. The results show that the system achieves automatic tuna counting with error below 10%, achieving around 1% error in the best configuration, and automatic tuna sizing of more than 20% of the stock, with highly accurate Snout Fork Length estimation when compared to true data from harvests. These results fulfil the requirements imposed by International Commission for the Conservation of Atlantic Tunas for compliant transfer operations.

Published
2019

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