Efficient multi-scale sheep front face detection method

A detection method and multi-scale technology, applied in neural learning methods, instruments, biological neural network models, etc., can solve the problems that the efficiency and accuracy of sheep face detection methods need to be further improved, and achieve high efficiency, high detection accuracy, and high The effect of detection accuracy

Pending Publication Date: 2022-07-15
NORTHWEST A & F UNIV
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0009] In view of the deficiencies in the prior art, the purpose of the present invention is to provide a high-efficiency multi-scale sheep face detection method to solve the technical problem that the efficiency and accuracy of the sheep face detection method in the prior art need to be further improved

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  • Efficient multi-scale sheep front face detection method
  • Efficient multi-scale sheep front face detection method
  • Efficient multi-scale sheep front face detection method

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Embodiment

[0041] The present embodiment provides a kind of efficient multi-scale sheep face detection method, and the method is carried out according to the following steps:

[0042] Step S1 , collecting images of datasets including the frontal faces of sheep of different scales.

[0043] Step S1 specifically includes the following steps:

[0044] Step S101, use a camera device to shoot a video of the sheep on the farm. When shooting the video of the sheep, the frontal face of the sheep should be included. In the video, the sheep's face is located in different positions of the image, not a single intermediate position, and the sheep's face is distributed in the original image. 5 orientations of the upper left, lower left, upper right, lower right and middle; the simultaneously collected images contain multi-scale sheep faces.

[0045] The multi-scale is divided into three types: large-scale, medium-scale and small-scale; the large-scale accounts for 1 / 4 of the image proportion; the med...

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Abstract

The invention provides an efficient multi-scale sheep front face detection method. The method comprises the following steps: S1, acquiring data set images containing different scales of sheep front faces; s2, labeling a sheep face frame and seven face feature points in the data set image of the sheep front face, and obtaining a labeled data set; s3, randomly dividing the labeled data set into a training set, a verification set and a test set; s4, inputting the training set into an efficient face and feature point detection network for training to obtain a trained network model; s5, preprocessing a to-be-detected picture and a video key frame, and inputting the preprocessed to-be-detected picture and video key frame into the trained network model to obtain a sheep face detection result; and S6, screening the detected sheep front face according to whether seven face feature points of the sheep front face are detected or not and whether the detection frame and the seven face feature points meet the positive angle feature relationship or not.

Description

technical field [0001] The invention belongs to the technical field of animal husbandry image processing, relates to sheep face recognition, and in particular relates to an efficient multi-scale sheep front face detection method. Background technique [0002] Animal husbandry is a traditional industry in my country, and it is also a leading industry in agriculture and rural economy. The breeding of dairy sheep and mutton sheep is an important part of the whole agriculture. By 2020, the number of sheep in my country will be 306.55 million. In the 1980s, my country introduced the concept of industrialized aquaculture from abroad, gradually realizing the transformation of aquaculture production methods. In recent years, sheep farming has gradually changed from small-scale farming in previous families to large-scale farming in intensive sheep farms, realizing the scale of sheep farming. [0003] Although sheep farming has achieved large-scale, it also brings some problems. At ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V10/25G06V10/774G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/214
Inventor 张宏鸣郝靳晔杜禹瞳罗志博李杭王建宁周利香李书琴黄铝文蔚继承
Owner NORTHWEST A & F UNIV
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