Automatic fish counting from underwater video images: performance estimation and evaluation
7th International Workshop on Marine Technology – Martech Workshop 2016, 26-28 October 2016, Barcelona.-- 3 pages, 4 figures, 1 table
Saved in:
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | comunicación de congreso biblioteca |
| Published: |
Universidad Politécnica de Cataluña
2016-10
|
| Subjects: | Cabled observatories, Manual fish counts, Automated fish counts, Pattern recognition, |
| Online Access: | http://hdl.handle.net/10261/143731 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
dig-icm-es-10261-143731 |
|---|---|
| record_format |
koha |
| spelling |
dig-icm-es-10261-1437312022-09-22T08:09:52Z Automatic fish counting from underwater video images: performance estimation and evaluation Marini, Simone Azzurro, Ernesto Coco, Salvatore Río, Joaquín del Enguídanos, Sergio Fanelli, Emanuela Nogueras, Marc Sbragaglia, Valerio Toma, Daniel M. Aguzzi, Jacopo Cabled observatories Manual fish counts Automated fish counts Pattern recognition 7th International Workshop on Marine Technology – Martech Workshop 2016, 26-28 October 2016, Barcelona.-- 3 pages, 4 figures, 1 table Cabled observatories offer new opportunities to monitor species abundances at frequencies and durations never attained before. When nodes bear cameras, these may be transformed into the first sensor capable of quantifying biological activities at individual, populational, species, and community levels, if automation image processing can be sufficiently implemented. Here, we developed a binary classifier for the fish automated recognition based on Genetic Programming tested on the images provided by OBSEA EMSO testing site platform located at 20 m of depth off Vilanova i la Gertrú (Spain). The performance evaluation of the automatic classifier resulted in a 78% of accuracy compared with the manual counting. Considering the huge dimension of data provided by cabled observatories and the difficulty of manual processing, we consider this result highly promising also in view of future implementation of the methodology to increase the accuracy Peer Reviewed 2017-02-10T08:04:51Z 2017-02-10T08:04:51Z 2016-10 2017-02-10T08:04:52Z comunicación de congreso http://purl.org/coar/resource_type/c_5794 issn: 1697-2562 e-issn: 1886-4864 Instrumentation Viewpoint 19: 55-57 (2016) http://hdl.handle.net/10261/143731 Publisher's version http://upcommons.upc.edu/handle/2117/99939 Sí open Universidad Politécnica de Cataluña |
| institution |
ICM ES |
| collection |
DSpace |
| country |
España |
| countrycode |
ES |
| component |
Bibliográfico |
| access |
En linea |
| databasecode |
dig-icm-es |
| tag |
biblioteca |
| region |
Europa del Sur |
| libraryname |
Biblioteca del ICM España |
| topic |
Cabled observatories Manual fish counts Automated fish counts Pattern recognition Cabled observatories Manual fish counts Automated fish counts Pattern recognition |
| spellingShingle |
Cabled observatories Manual fish counts Automated fish counts Pattern recognition Cabled observatories Manual fish counts Automated fish counts Pattern recognition Marini, Simone Azzurro, Ernesto Coco, Salvatore Río, Joaquín del Enguídanos, Sergio Fanelli, Emanuela Nogueras, Marc Sbragaglia, Valerio Toma, Daniel M. Aguzzi, Jacopo Automatic fish counting from underwater video images: performance estimation and evaluation |
| description |
7th International Workshop on Marine Technology – Martech Workshop 2016, 26-28 October 2016, Barcelona.-- 3 pages, 4 figures, 1 table |
| format |
comunicación de congreso |
| topic_facet |
Cabled observatories Manual fish counts Automated fish counts Pattern recognition |
| author |
Marini, Simone Azzurro, Ernesto Coco, Salvatore Río, Joaquín del Enguídanos, Sergio Fanelli, Emanuela Nogueras, Marc Sbragaglia, Valerio Toma, Daniel M. Aguzzi, Jacopo |
| author_facet |
Marini, Simone Azzurro, Ernesto Coco, Salvatore Río, Joaquín del Enguídanos, Sergio Fanelli, Emanuela Nogueras, Marc Sbragaglia, Valerio Toma, Daniel M. Aguzzi, Jacopo |
| author_sort |
Marini, Simone |
| title |
Automatic fish counting from underwater video images: performance estimation and evaluation |
| title_short |
Automatic fish counting from underwater video images: performance estimation and evaluation |
| title_full |
Automatic fish counting from underwater video images: performance estimation and evaluation |
| title_fullStr |
Automatic fish counting from underwater video images: performance estimation and evaluation |
| title_full_unstemmed |
Automatic fish counting from underwater video images: performance estimation and evaluation |
| title_sort |
automatic fish counting from underwater video images: performance estimation and evaluation |
| publisher |
Universidad Politécnica de Cataluña |
| publishDate |
2016-10 |
| url |
http://hdl.handle.net/10261/143731 |
| work_keys_str_mv |
AT marinisimone automaticfishcountingfromunderwatervideoimagesperformanceestimationandevaluation AT azzurroernesto automaticfishcountingfromunderwatervideoimagesperformanceestimationandevaluation AT cocosalvatore automaticfishcountingfromunderwatervideoimagesperformanceestimationandevaluation AT riojoaquindel automaticfishcountingfromunderwatervideoimagesperformanceestimationandevaluation AT enguidanossergio automaticfishcountingfromunderwatervideoimagesperformanceestimationandevaluation AT fanelliemanuela automaticfishcountingfromunderwatervideoimagesperformanceestimationandevaluation AT noguerasmarc automaticfishcountingfromunderwatervideoimagesperformanceestimationandevaluation AT sbragagliavalerio automaticfishcountingfromunderwatervideoimagesperformanceestimationandevaluation AT tomadanielm automaticfishcountingfromunderwatervideoimagesperformanceestimationandevaluation AT aguzzijacopo automaticfishcountingfromunderwatervideoimagesperformanceestimationandevaluation |
| _version_ |
1777666546332598272 |