| Title: | OS20-3 Automatic recognition of benthic species using image processing |
|---|---|
| Publication: | ICAROB2018 |
| Volume: | 23 |
| Pages: | 779-782 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2018.OS20-3 |
| Author(s): | Yuki Soejima, Yuya Nishida, Takashi Sonoda, Kazuo Ishii |
| Publication Date: | February 2, 2018 |
| Keywords: | Recognition, Benthic species, Underwater image processing |
| Abstract: | For sustainable use of fisheries resources, it is important to estimate the amount of resources such as TAC (Total Allowable Catch), TAE (Total Allowable Effort) and their investigations have been conducted by bottomed net fishing, however, the method suffers environmental damages. The survey method for wider area that does not affect the ecosystem is needed. Recently, research using an autonomous underwater robot (AUV) is introduced as a new survey method as the solution. We also introduced an AUV for the survey of fish and crabs in the Sea of Okhotsk. The number of marine lives is measured manually, and the technique of automatic measurement of the number is needed for the observation. In this research, we propose an automatic marine life recognition method from seafloor images. |
| PDF File: | https://alife-robotics.co.jp/members2018/icarob/data/html/data/OS_pdf/OS20/OS20-3.pdf |
| Copyright: | © The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
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