| Title: | OS23-1 Simplification of Rip Current Detection by Image Averaging Based on the Number of Wave Breaks |
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| Publication: | ICAROB2025 |
| Volume: | 30 |
| Pages: | 609-612 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2025.OS23-1 |
| Author(s): | Ota Hamasuna, Leona Kimura, Satoshi Ikeda, Kaoru Ohe, Kenji Aoki, Amane Takei, Akihiro Kudo, Makoto Sakamoto |
| Publication Date: | February 13, 2025 |
| Keywords: | Rip current, image averaging, image processing, wave breaking, SSIM |
| Abstract: | According to a National Police Agency report, there were 1,392 water accidents in 2023, with 368 victims (dead or missing) in the sea, mainly due to rip currents. Detecting rip currents is crucial, and past studies have used image averaging, often relying on fixed-point cameras or lengthy videos, making it difficult for individuals to apply. This study proposes using smartphone videos, with durations adjusted by the number of wave breaks, to enable easier rip current detection. To test this, smartphone footage was recorded at Hitotsuba Surf Point in Miyazaki Prefecture for analysis. |
| PDF File: | https://alife-robotics.co.jp/members2025/icarob/data/html/data/OS/OS23/OS23-1.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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