Optimising the Workflow for Fish Detection in DIDSON (Dual-Frequency IDentification SONar) Data with the Use of Optical Flow and a Genetic Algorithm

Optimising the Workflow for Fish Detection in DIDSON (Dual-Frequency IDentification SONar) Data with the Use of Optical Flow and a Genetic Algorithm

DIDSON acoustic cameras provide a way to collect temporally dense, high-resolution imaging data, similar to videos. Detection of fish targets on those videos takes place in a manual or semi-automated manner, typically assisted by specialised software. Exploiting the visual nature of the recordings,...

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Bibliographic Details
Main Authors: Triantafyllia-Maria Perivolioti, Michal Tušer, Dimitrios Terzopoulos, Stefanos P. Sgardelis, Ioannis Antoniou
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Water
Subjects:
acoustic imaging
computer vision
hydroacoustics
fisheries research
image segmentation
image classification
Online Access:https://www.mdpi.com/2073-4441/13/9/1304

Internet

https://www.mdpi.com/2073-4441/13/9/1304

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