2024-03-28T09:26:16Zhttp://digital.csic.es/dspace-oai/requestoai:digital.csic.es:10261/824362021-12-02T11:57:57Zcom_10261_126com_10261_8com_10261_123col_10261_1009col_10261_1006
Video-image processing applied to the analysis of the behaviour of deep-water lobsters (Nephrops norvegicus)
Pons Freixes, Sergi
Piera, Jaume
Aguzzi, Jacopo
4 pages, 6 figures.-- © 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
In this study, we show the results of applying two automated data processing methods to a set of videos previously used to manually monitor the period and the phase of activity rhythms of the deep-water Norway lobster, Nephrops norvegicus, a species of elevated commercial fishery value. Present data are consistent with published findings on Nephrops norvegicus activity rhythms both in the laboratory and the field
Peer Reviewed
2013-09-20T08:16:17Z
2013-09-20T08:16:17Z
2010
2013-09-20T08:16:17Z
capítulo de libro
http://purl.org/coar/resource_type/c_3248
isbn: 978-1-4244-5221-7
OCEANS 2010 IEEE - Sydney (2010)
http://hdl.handle.net/10261/82436
10.1109/OCEANSSYD.2010.5603679
en
https://doi.org/10.1109/OCEANSSYD.2010.5603679
open
Institute of Electrical and Electronics Engineers