An Automated Pipeline for Image Processing and Data Treatment to Track Activity Rhythms of Paragorgia arborea in Relation to Hydrographic Conditions

• Published in: Sensors
• Main Authors: Ander Zuazo, Jordi Grinyó, Vanesa López-Vázquez, Erik Rodríguez, Corrado Costa, Luciano Ortenzi, Sascha Flögel, Javier Valencia, Simone Marini, Guosong Zhang, Henning Wehde, Jacopo Aguzzi
• Format: Text
• Language: English
• Published: Multidisciplinary Digital Publishing Institute 2020
• Subjects: neural network; deep-sea; cold water coral (CWC); automated video imaging; filtering rhythms; tides; multivariate statistics; Lofoten; Vesterålen; Paragorgia arborea
• Online Access: https://doi.org/10.3390/s20216281

Imaging technologies are being deployed on cabled observatory networks worldwide. They allow for the monitoring of the biological activity of deep-sea organisms on temporal scales that were never attained before. In this paper, we customized Convolutional Neural Network image processing to track beh...