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Underwater fish body posture dynamic identification method and device

A dynamic recognition and fish body technology, applied in the field of image recognition, can solve the problem of low gesture recognition accuracy, and achieve the effect of improving recognition efficiency and reducing calculation parameters.

Pending Publication Date: 2022-07-29
CHINA AGRI UNIV
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Problems solved by technology

[0004] The invention provides a method and device for dynamic recognition of underwater fish posture, which is used to solve the defect of low precision in posture recognition of moving fish in the prior art

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  • Underwater fish body posture dynamic identification method and device
  • Underwater fish body posture dynamic identification method and device
  • Underwater fish body posture dynamic identification method and device

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Embodiment Construction

[0046] In order to make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention. , not all examples. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0047] At present, traditional image processing techniques (such as binarization, shape fitting, gray value detection) and convolutional neural networks are mostly used for fish gesture recognition, but the above methods can only perform gesture recognition for fish in a stationary state. It is impossible to accurately recognize the posture of the fish in the moving state.

[0048] In addition, there is also fish ...

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Abstract

The invention provides an underwater fish body posture dynamic identification method and device. The method comprises the following steps: determining a to-be-identified fish body image; and performing target detection on the spliced image based on the fish body posture recognition model to obtain a target detection frame image, performing down-sampling on the target detection frame image, generating a feature pyramid based on the down-sampled target detection frame image, and determining a fish body posture based on features in the feature pyramid. The method can determine the posture of the fish body in the moving state with high precision.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a method and device for dynamic recognition of underwater fish body posture. Background technique [0002] Aquaculture is the use of the waters available for aquaculture, in accordance with the ecological habits of the aquaculture objects and the requirements for the environmental conditions of the waters, using aquaculture technology and facilities to engage in aquatic economic aquaculture. The behavior of fish swimming is closely related to the environment in which it is located. Detecting and recognizing the behavior and posture of fish can help to judge its health. [0003] At present, traditional image processing techniques (such as binarization, shape fitting, gray value detection) and convolutional neural networks are mostly used for fish gesture recognition, but the above methods can only perform gesture recognition for fish in a stationary state. It is impossi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V40/20G06V10/25G06V10/46G06V10/774G06V10/764G06V10/80G06V10/82G06K9/62G06N3/04G06N3/08G06T3/40G06T5/00
CPCG06T3/4038G06N3/08G06T2200/32G06T2207/20081G06T2207/20084G06N3/045G06F18/2431G06F18/253G06F18/214G06T5/90
Inventor 石晨张天野李道亮李振波
Owner CHINA AGRI UNIV
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