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Artificial Intelligence techniques for marine video analysis

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conference contribution
posted on 2023-05-26, 10:08 authored by Fearn, RC, Williams, R, Cameron-Jones, RM
Modern fisheries management for scallop fisheries requires accurate assessment of fish stocks and careful monitoring of marine habitats. Underwater video promises to provide a means of obtaining this information in a cost effective and non-destructive way, but a major limitation is the need for time-consuming and subjective manual analysis of the video data obtained. This poster reports on research, conducted in conjunction with the Tasmanian Aquaculture and Fisheries Institute, focusses on the development of computer vision techniques to automate the process of counting scallops depicted in video image sequences. The techniques will locate objects of interest, analyse the objects to determine which are scallops and then identify the scallop species

History

Publication status

  • Published

Event title

Australian Society for Fish Biology 2006 Conference and Workshop on Cutting Edge Technologies in Fish and Fisheries Science

Event Venue

Hobart

Date of Event (Start Date)

2001-09-01

Date of Event (End Date)

2001-09-01

Repository Status

  • Open

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