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Goose walking gait feature recognition method based on machine vision

A recognition method and gait feature technology, applied in the field of smart breeding of geese, can solve the problem of incapable of identifying individual leg contours of geese, and achieve the effect of speeding up the convergence speed and improving the recognition rate.

Inactive Publication Date: 2020-06-19
YANGZHOU UNIV
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Problems solved by technology

[0004] Aiming at the deficiency of not being able to recognize the outline of the legs of the breeder goose, the present invention proposes a method capable of dynamically recognizing goose legs - a method for recognizing goose walking gait characteristics based on machine vision, which can realize the goose's normal walking process middle class geese

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  • Goose walking gait feature recognition method based on machine vision
  • Goose walking gait feature recognition method based on machine vision
  • Goose walking gait feature recognition method based on machine vision

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Embodiment Construction

[0023] The present invention will be further described below in conjunction with the embodiments and the accompanying drawings.

[0024] like figure 1 As shown, a method of the present invention capable of dynamically recognizing goose legs, that is, a machine vision-based goose walking gait feature recognition method, is divided into two processes, respectively, the training process and the testing process of the recognition method model. The training process is mainly to perform image processing on the behavioral characteristics of the goose's legs, and build a network model to build a leg recognition model; the testing process is mainly to recognize the individual legs of the network model obtained during the training process.

[0025] The specific steps of the training process:

[0026] The first step: collect the gait video of the geese walking, use the background subtraction to select K Gaussian distribution for each pixel to perform the target motion detection, and obt...

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Abstract

The invention provides a goose walking gait feature recognition method based on machine vision, and the method comprises the steps: employing a gait recognition algorithm of a network model, carryingout the moving target detection and image processing of the legs of a breeding goose, and generating a gait periodic diagram; and a residual network idea is introduced, so that the convergence speed of the network is increased, and the individual recognition rate is improved.

Description

technical field [0001] The invention relates to a machine vision-based method for recognizing goose walking gait features, which is a method adapted to goose leg recognition, and belongs to the technical field of goose intelligent breeding. Background technique [0002] With the development of artificial intelligence, computer vision research has been greatly improved, and dynamic recognition technology has developed rapidly. Gait recognition is an important part of computer recognition. You don’t need to wear any equipment on your body, and you don’t need to do calibration. You can understand gait directly through image acquisition equipment. However, the current recognition is mainly based on human research, and there is little research on breeding. [0003] The era of science and technology is developing rapidly, and the breeding of geese is becoming more and more intelligent. In the process of scientific and technological breeding, geese have very high requirements for i...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06N3/04G06N3/08
CPCG06N3/084G06V40/25G06V10/44G06N3/045
Inventor 张燕军杨天高龙琴缪宏张善文龚道清
Owner YANGZHOU UNIV
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