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Osaka Bay is a very congested area, since many fishing vessels catch fishes, and many ferries and freighters come and go. In order to prevent maritime accidents, ship operators, operations managers, and pilots desire real-time positional information about large vessels, small vessels, and fishing gears. The authors have already achieved information dissemination about positional information of large and small vessels. However, the authors haven't acquired positional information of fishing gears yet. The ultimate goal of this study is attaining safety and efficient navigation by providing real-time positional information. In order to approach the goal, this paper presents an auto extraction method, which picks out the starting and finishing points of fishing using positional information of the fishing vessel. These points are very important to predict real-time positions of fishing gears. The authors focused on fishing vessels for Spanish mackerel drift net fishing, and extracted the casting start point and the hauling finish point. From evaluation results, the auto extraction method indicates the different distance less than 500 meters compared with factual starting/fishing points of fishing. This result is sufficient to achieve safety navigation.

An Extraction Method for Spanish Mackerel Drift Net Fishing in Osaka Bay Using the Positional Information of Fishing Vessels