Automated Marking of Underwater Animals Using a Cascade of Neural Networks

Autor:	Evgeniy Pen, Olga Sedova, Anna Frikh-Khar, Oleg Iakushkin, Nikolay Shabalin, Ekaterina Pavlova, Anna Bulanova, Yana Terekhina
Rok vydání:	2021
Předmět:	Artificial neural network Computer science media_common.quotation_subject computer.software_genre Task (project management) Presentation Cascade Segmentation State (computer science) Data mining Underwater computer Seabed media_common
Zdroj:	Computational Science and Its Applications – ICCSA 2021 ISBN: 9783030870096 ICCSA (8)
DOI:	10.1007/978-3-030-87010-2_34
Popis:	In this work, a multifactorial problem of analyzing the seabed state of plants and animals using photo and video materials is considered. Marine research to monitor benthic communities and automatic mapping of underwater landscapes make it possible to qualitatively assess the state of biomes. The task includes several components: preparation of a methodology for data analysis, their aggregation, analysis, presentation of results. In this work, we focused on methods for automating detection and data presentation.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f8687cc794866c758289199f53001519 https://doi.org/10.1007/978-3-030-87010-2_34 Zobrazit plný text záznamu