Intelligent identification method and device for morphological characteristics of underwater fish

By obtaining videos of the top view angle on the water and side view angles underwater, using target detection and key point detection networks, combined with the visual difference of binocular images, the accurate identification of the morphological characteristics of the free swimming fish underwater is achieved, and the problem of inaccurate measurement in the prior art is solved.

CN119649201APending Publication Date: 2025-03-18CHINA AGRI UNIV
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Patent Information

Application Number
CN202311206847.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2023-09-18
Publication Date
2025-03-18

AI Technical Summary

Technical Problem

The prior art is difficult to accurately measure the morphological characteristic information of the free swimming fish underwater, especially when the morphology changes rapidly when the fish body moves.

Method used

By obtaining the monocular video of the above-surface viewing angle of the fish swimming and the binocular video of the underwater side viewing angle of the fish, the target detection and key point detection network are used, and combined with the visual difference of the binocular image, intelligent identification of the morphological characteristics of the fish is achieved.

Benefits of technology

Accurate measurement of the morphological characteristics information of the free swimming fish underwater is achieved, the accuracy and efficiency of measurement are improved, and potential harm to the fish population is avoided.

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Abstract

According to the intelligent identification method and device for the morphological characteristics of the underwater fish, the morphological characteristics of the underwater fish are intelligently identified based on target detection, key point detection and a three-dimensional reconstruction method, and a target detection network is used for processing a side view angle data set to position a fish body to obtain a target frame of target detection; carrying out key point detection of a key point identification network on the obtained image in the target frame to obtain key point information of the target fish; a binocular disparity map is obtained through a binocular matching algorithm, and then two-dimensional key point position information of the fish is calculated into three-dimensional key point position information; fitting a three-dimensional coordinate through a space curve, and analyzing the angle and length information between the key points to obtain the local deformation, pose and other characteristics of the fish; the data set of the overlook angle is analyzed and processed, and non-rigid deformation information of the fish body at the two-dimensional overlook angle is obtained; therefore, the spatial attitude of the fish body can be effectively fitted, and the morphological characteristics of the underwater free swimming fish body can be identified.
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