Semi-supervised Visual Tracking of Marine Animals Using Autonomous Underwater Vehicles
CC BY
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Định dạng: | Sách |
Ngôn ngữ: | English |
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Springer
2023
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Truy cập trực tuyến: | https://link.springer.com/article/10.1007/s11263-023-01762-5 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8237 |
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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 |
8.891695 |