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Automatic identification method for milking sow gesture on the basis of depth image

A technology of sucking sows and depth images, which is applied in the field of computer vision, can solve the problems of difficult recognition at night, low recognition rate, and single adaptation to the scene, so as to ensure the accuracy of automatic recognition of sow posture and solve the effect of difficult recognition of sow posture

Inactive Publication Date: 2018-03-27
SOUTH CHINA AGRI UNIV
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Problems solved by technology

[0007] The purpose of the present invention is to solve the problems of low recognition rate, single adaptation scene, and difficult recognition at night in the existing automatic recognition method of sow posture, and propose a method for automatic recognition of lactating sow posture based on depth image

Method used

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  • Automatic identification method for milking sow gesture on the basis of depth image
  • Automatic identification method for milking sow gesture on the basis of depth image
  • Automatic identification method for milking sow gesture on the basis of depth image

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Embodiment 1

[0046] Please refer to figure 1 , figure 1 The flow chart of the training phase of the sow posture automatic recognition model.

[0047] A method for automatic recognition of sow posture based on depth images, including two stages: a sow detection stage and a sow posture recognition stage, specifically including the following steps:

[0048] In the sow detection stage, step 1: through the Kinect sensor installed above the pig house, the depth video data of sows in 8 different pens are collected during the day and night, and the continuous shooting time of each pen is about 3 hours. And take 5 frames per second to generate continuous depth image sequence of sow activity, the pixel size is 512×424. The original image preprocessing includes limited contrast adaptive histogram equalization and median filter (filter kernel size is 3×3), which can effectively enhance image contrast and eliminate image noise. The coordinates of the sow in the preprocessed image are manually marked...

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Abstract

The invention discloses an automatic identification method for a milking sow gesture on the basis of a depth image. The method comprises the following steps that: collecting original depth image data,carrying out preprocessing, and carrying out manual annotation to form a milking sow gesture identification dataset; designing and training a milking sow hybrid deformable component model based on animproved HOG (Histogram of Oriented Gradient) feature; constructing a milking sow gesture identification deep convolutional neural network, utilizing an annotation frame and annotated gesture category training set information, and combining with a random Dropout method to train the network; inputting the test set into the milking sow hybrid deformable component model to obtain the target area ofthe milking sow; and inputting a target area result into the milking sow gesture identification deep convolutional neural network to identity the milking sow gesture. By use of the automatic identification method for the milking sow gesture on the basis of the depth image, the problem that an RGB (Red, Green and Blue) image is likely to be affected by the changes of factors, including outside illumination, shades and the like is overcome, the problem that the milking sow gesture is difficult in identification at night is solved, and the practical application requirement of all-weather milkingsow gesture monitoring can be met.

Description

technical field [0001] The invention relates to the field of computer vision, and more particularly, to a method for automatic recognition of the posture of a sucking sow in a depth image. Background technique [0002] my country is a big pig breeding country, and the scale and quantity of pig breeding are increasing year by year. The behavioral visual perception of pigs has become a research hotspot in the field of precision animal husbandry. The posture of lactating sows can provide basic information for the study of the characteristics and laws of maternal behavior, and is an important indicator for the evaluation of sows' maternal behavior. However, relying on manual on-site or video observation of its posture is time-consuming, laborious and highly subjective. Researching the automatic real-time recognition technology of sow posture based on computer vision will not only reduce the labor intensity and breeding costs of the staff, but also detect abnormalities of sows i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/60G06K9/40G06N3/04
CPCG06N3/04G06V10/30G06V10/20G06F18/214
Inventor 薛月菊童欣欣朱勋沐杨阿庆
Owner SOUTH CHINA AGRI UNIV
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