Video-image processing applied to the analysis of the behaviour of deep-water lobsters (Nephrops norvegicus)

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.