Abstract: Currently,computer vision technology which simulates the principle of biological vision has been widely applied in study of fish swimming behavior via collection and processing dynamic target parameter information including pictures or videos.Research progress on fish swimming behavior monitoring by computer vision technology is summarized.Firstly,the fish target selection and image acquisition methods are introduced.Secondly the background removal and target detection are presented.Thirdly extraction method of swimming parameters for single fish target with direct extraction and fitting extraction is presented.The method of motion prediction and feature matching for multi fish object monitoring is described in detail.Then the swimming behavior monitoring parameters are classified,and relevant image processing software used commonly is introduced.Finally,the difficulties and future trends of computer vision monitoring are discussed.