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This paper presents an accurate and automatic algorithm to recognize and count fish in the video footages of fishery operations. The unique character of the approach is that it combines machine learning techniques with statistical methods to fully make use the benefits of these algorithms. The approach consists of three major stages including video data preparation such as noise deduction, preliminary...
Integrated video camera systems have been installed on fishing boats to trial for fishery monitoring in some countries. Currently, substantial amount of video footage is manually analyzed off the boats after each trip. Automatic processing of the videos is important for saving time and manpower. In this paper, an intelligent tuna recognition method is proposed. The method includes four steps. Firstly,...
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