Deep-Sea Organisms Tracking Using Dehazing and Deep Learning
Deep-Sea Organisms Tracking Using Dehazing and Deep Learning
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Full title
Author / Creator
Lu, Huimin , Uemura, Tomoki , Wang, Dong , Zhu, Jihua , Huang, Zi and Kim, Hyoungseop
Publisher
New York: Springer US
Journal title
Language
English
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Publication information
Publisher
New York: Springer US
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Scope and Contents
Contents
Deep-sea organism automatic tracking has rarely been studied because of a lack of training data. However, it is extremely important for underwater robots to recognize and to predict the behavior of organisms. In this paper, we first develop a method for underwater real-time recognition and tracking of multi-objects, which we call “You Only Look Onc...
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Full title
Deep-Sea Organisms Tracking Using Dehazing and Deep Learning
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Author / Creator
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Record Identifier
TN_cdi_proquest_journals_2117646569
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2117646569
Other Identifiers
ISSN
1383-469X
E-ISSN
1572-8153
DOI
10.1007/s11036-018-1117-9
