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Automatic fish counting from underwater video images: performance estimation and evaluation

Author
Marini, S.; Azzurro, E.; Coco, S.; Del Rio, J.; Enguídanos, S.; Fanelli, E.; Nogueras, M.; Sbragaglia, V.; Toma, D.M.; Aguzzi, J.
Type of activity
Journal article
Journal
Instrumentation viewpoint
Date of publication
2016-10-01
Number
19
First page
55
Last page
57
Repository
http://hdl.handle.net/2117/99939 Open in new window
URL
http://www.upc.edu/cdsarti/martech/usb_2016/paginas/Abstract_Magazine.pdf Open in new window
Abstract
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...
Citation
Marini, S. [et al.]. Automatic fish counting from underwater video images: performance estimation and evaluation. A: 7th International Workshop on Marine Technology : MARTECH 2016. "Instrumentation viewpoint". Vilanova i la Geltrú: SARTI, 2016, p. 55-57.
Keywords
Automated fish counts, Cabled observatories, Manual fish counts, Pattern recognition
Group of research
SARTI - Technological Development Center for Remote Acquisition and Data Processing System
SARTI-MAR -

Participants

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