Fish Behavior Detection Using Computer Vision: A Review

Abstract

Aquaculture is an important part of China's agricultural production. In recent years, China's aquaculture production has increased year by year. With the continuous progress of optical imaging technology, computer vision technology, the detection and analysis of fish behavior can be completed to expand the application of aquaculture, through the combination of underwater cameras and sensors. Hence, this paper provides a review of the computer vision model for fish detection. Firstly, the research status of traditional fish behavior detection technology is analyzed. Then, the research progress of computer vision technology in fish behavior detection is analyzed. Finally, the advantages and disadvantages of computer vision technology in fishery are analyzed, and the future development prospects are discussed.