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Semi-supervised Visual Tracking of Marine Animals Using Autonomous Underwater Vehicles

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Bibliographic Details
Main Authors: Levi, Cai, Nathan E., McGuire, Roger, Hanlon
Format: Book
Language:English
Published: Springer 2023
Subjects:
In-situ visual observations
GPU
Online Access:https://link.springer.com/article/10.1007/s11263-023-01762-5
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8237
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spelling oai:localhost:PNK-82372023-04-24T02:11:11Z Semi-supervised Visual Tracking of Marine Animals Using Autonomous Underwater Vehicles Levi, Cai Nathan E., McGuire Roger, Hanlon In-situ visual observations GPU CC BY In-situ visual observations of marine organisms is crucial to developing behavioural understandings and their relations to their surrounding ecosystem. Typically, these observations are collected via divers, tags, and remotely-operated or human-piloted vehicles. Recently, however, autonomous underwater vehicles equipped with cameras and embedded computers with GPU capabilities are being developed for a variety of applications, and in particular, can be used to supplement these existing data collection mechanisms where human operation or tags are more difficult. 2023-04-24T02:11:11Z 2023-04-24T02:11:11Z 2023 Book https://link.springer.com/article/10.1007/s11263-023-01762-5 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8237 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic In-situ visual observations
GPU
spellingShingle In-situ visual observations
GPU
Levi, Cai
Nathan E., McGuire
Roger, Hanlon
Semi-supervised Visual Tracking of Marine Animals Using Autonomous Underwater Vehicles
description CC BY
format Book
author Levi, Cai
Nathan E., McGuire
Roger, Hanlon
author_facet Levi, Cai
Nathan E., McGuire
Roger, Hanlon
author_sort Levi, Cai
title Semi-supervised Visual Tracking of Marine Animals Using Autonomous Underwater Vehicles
title_short Semi-supervised Visual Tracking of Marine Animals Using Autonomous Underwater Vehicles
title_full Semi-supervised Visual Tracking of Marine Animals Using Autonomous Underwater Vehicles
title_fullStr Semi-supervised Visual Tracking of Marine Animals Using Autonomous Underwater Vehicles
title_full_unstemmed Semi-supervised Visual Tracking of Marine Animals Using Autonomous Underwater Vehicles
title_sort semi-supervised visual tracking of marine animals using autonomous underwater vehicles
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s11263-023-01762-5
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8237
_version_ 1764086838809591808
score 8.893527

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