This document reports about the implementation of a computer vision procedure to estimate Nephrops norvegicus burrows density by analysing Underwater Television (UWTV) surveys. This activity, developed in cooperation with the ICES WGNEPS group, aims at providing an automatic system to support (i) the detection of the N. norvegicus openings, (ii) their grouping into systems (i.e. burrows) and (iii) the count of the distinct burrows. This could represent a relevant tool to simplify and optimise the stock assessment process.

Computer vision to support Nephrops norvegicus imagery annotation

Marco Reggiannini;Enrico Cecapolli;Filippo Domenichetti;Michela Martinelli;Oscar Papini;Gabriele Pieri;Lorenzo Zacchetti
2025

Abstract

This document reports about the implementation of a computer vision procedure to estimate Nephrops norvegicus burrows density by analysing Underwater Television (UWTV) surveys. This activity, developed in cooperation with the ICES WGNEPS group, aims at providing an automatic system to support (i) the detection of the N. norvegicus openings, (ii) their grouping into systems (i.e. burrows) and (iii) the count of the distinct burrows. This could represent a relevant tool to simplify and optimise the stock assessment process.
2025
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Istituto per le Risorse Biologiche e le Biotecnologie Marine - IRBIM - Sede Secondaria Ancona
Computer vision, Dataset annotation, Deep learning, Nephrops norvegicus
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/541003
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