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Title

A novel morphometry-based protocol of automated video-image analysis for species recognition and activity rhythms monitoring in deep-sea fauna

AuthorsAguzzi, Jacopo ; Costa, Corrado; Fujiwara, Y.; Iwase, R.; Ramírez-Llodra, Eva ; Menesatti, Paolo
KeywordsAutomated video-image analysis
Deep-sea
Behavioural rhythms
Inertial currents
Internal tides
Cold-seeps
Sagami Bay
Issue Date26-Oct-2009
PublisherMultidisciplinary Digital Publishing Institute
CitationSensors 9(11): 8438-8455 (2009)
AbstractThe 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
Description18 pages, 7 figures, 2 tables
Publisher version (URL)http://dx.doi.org/10.3390/s91108438
URIhttp://hdl.handle.net/10261/83648
DOI10.3390/s91108438
Identifiersdoi: 10.3390/s91108438
issn: 1424-8220
Appears in Collections:(ICM) Artículos
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