A novel morphometry-based protocol of automated video-image analysis for species recognition and activity rhythms monitoring in deep-sea fauna
18 pages, 7 figures, 2 tables
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| Main Authors: | , , , , , |
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| Format: | artículo biblioteca |
| Language: | English |
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Multidisciplinary Digital Publishing Institute
2009-10-26
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| Subjects: | Automated video-image analysis, Deep-sea, Behavioural rhythms, Inertial currents, Internal tides, Cold seeps, Sagami Bay, Mudflows, |
| Online Access: | http://hdl.handle.net/10261/83648 |
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dig-icm-es-10261-836482021-12-27T16:25:47Z A novel morphometry-based protocol of automated video-image analysis for species recognition and activity rhythms monitoring in deep-sea fauna Aguzzi, Jacopo Costa, Corrado Fujiwara, Y. Iwase, R. Ramírez-Llodra, Eva Menesatti, Paolo Automated video-image analysis Deep-sea Behavioural rhythms Inertial currents Internal tides Cold seeps Sagami Bay Mudflows 18 pages, 7 figures, 2 tables The understanding of ecosystem dynamics in deep-sea areas is to date limited by technical constraints on sampling repetition. We have elaborated a morphometry-based protocol for automated video-image analysis where animal movement tracking (by frame subtraction) is accompanied by species identification from animals' outlines by Fourier Descriptors and Standard K-Nearest Neighbours methods. One-week footage from a permanent video-station located at 1,100 m depth in Sagami Bay (Central Japan) was analysed. Out of 150,000 frames (1 per 4 s), a subset of 10.000 was analyzed by a trained operator to increase the efficiency of the automated procedure. Error estimation of the automated and trained operator procedure was computed as a measure of protocol performance. Three displacing species were identified as the most recurrent: Zoarcid fishes (eelpouts), red crabs (Paralomis multispina), and snails (Buccinum soyomaruae). Species identification with KNN thresholding produced better results in automated motion detection. Results were discussed assuming that the technological bottleneck is to date deeply conditioning the exploration of the deep-sea. © 2009 by the authors This work was funded by the project High-Vision (DM 19177/7303/08) from the Italian Ministry of Agricultural, Food and Forestry Politics. Jacopo Aguzzi is a Post Doctoral Fellow of the JAE Scheme (Spanish Ministry of Science and Innovation, MICINN) Peer Reviewed 2013-10-09T07:26:01Z 2013-10-09T07:26:01Z 2009-10-26 2013-10-09T07:26:02Z artículo http://purl.org/coar/resource_type/c_6501 doi: 10.3390/s91108438 issn: 1424-8220 Sensors 9(11): 8438-8455 (2009) http://hdl.handle.net/10261/83648 10.3390/s91108438 22291517 en https://doi.org/10.3390/s91108438 open Multidisciplinary Digital Publishing Institute |
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biblioteca |
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Biblioteca del ICM España |
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English |
| topic |
Automated video-image analysis Deep-sea Behavioural rhythms Inertial currents Internal tides Cold seeps Sagami Bay Mudflows Automated video-image analysis Deep-sea Behavioural rhythms Inertial currents Internal tides Cold seeps Sagami Bay Mudflows |
| spellingShingle |
Automated video-image analysis Deep-sea Behavioural rhythms Inertial currents Internal tides Cold seeps Sagami Bay Mudflows Automated video-image analysis Deep-sea Behavioural rhythms Inertial currents Internal tides Cold seeps Sagami Bay Mudflows Aguzzi, Jacopo Costa, Corrado Fujiwara, Y. Iwase, R. Ramírez-Llodra, Eva Menesatti, Paolo A novel morphometry-based protocol of automated video-image analysis for species recognition and activity rhythms monitoring in deep-sea fauna |
| description |
18 pages, 7 figures, 2 tables |
| format |
artículo |
| topic_facet |
Automated video-image analysis Deep-sea Behavioural rhythms Inertial currents Internal tides Cold seeps Sagami Bay Mudflows |
| author |
Aguzzi, Jacopo Costa, Corrado Fujiwara, Y. Iwase, R. Ramírez-Llodra, Eva Menesatti, Paolo |
| author_facet |
Aguzzi, Jacopo Costa, Corrado Fujiwara, Y. Iwase, R. Ramírez-Llodra, Eva Menesatti, Paolo |
| author_sort |
Aguzzi, Jacopo |
| title |
A novel morphometry-based protocol of automated video-image analysis for species recognition and activity rhythms monitoring in deep-sea fauna |
| title_short |
A novel morphometry-based protocol of automated video-image analysis for species recognition and activity rhythms monitoring in deep-sea fauna |
| title_full |
A novel morphometry-based protocol of automated video-image analysis for species recognition and activity rhythms monitoring in deep-sea fauna |
| title_fullStr |
A novel morphometry-based protocol of automated video-image analysis for species recognition and activity rhythms monitoring in deep-sea fauna |
| title_full_unstemmed |
A novel morphometry-based protocol of automated video-image analysis for species recognition and activity rhythms monitoring in deep-sea fauna |
| title_sort |
novel morphometry-based protocol of automated video-image analysis for species recognition and activity rhythms monitoring in deep-sea fauna |
| publisher |
Multidisciplinary Digital Publishing Institute |
| publishDate |
2009-10-26 |
| url |
http://hdl.handle.net/10261/83648 |
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