Sow lactation behavior recognition method based on computer vision

Abstract

The invention discloses a sow lactation behavior recognition method based on computer vision, which comprises the following steps: 1) collecting overhead video segments of sows and piglets during lactation period; 2) calculating spatio-temporal characteristics such as intensity of move pixel, duty cycle and aggregation degree based on optical flow characteristics, and extracting time serie key frames; 3) using that DeepLab convolution network to segment the sow and the piglet in the key frame, automatically locating the region of inter of the suckling according to the shape matching algorithm,and obtain the spatio-temporal region of interest; 4) a recognition unit is arranged in that spatio-temporal region of interest to extract the motion characteristic of the piglets, including the motion distribution index characteristics of the piglets and the suck motion characteristics of the piglets based on the light flow in the normal direction of the ventral line of the sows; 5) inputting that motion characteristics of the piglet into the SVM classification model to realize automatic recognition of the sow lactation behavior. The invention utilizes the temporal and spatial motion information of the sow and the piglet in the lactation behavior to recognize the sow lactation behavior under the environment of the pig farm, thereby solving the problem that the artificial monitoring of the pig farm is difficult.

Description

technical field [0001] The present invention relates to the technical field of computer vision video analysis and interactive behavior recognition, in particular to a computer vision sow lactation behavior recognition method. Background technique [0002] According to statistics, the mortality rate of piglets before weaning is as high as 25-33%, which affects the economic benefits of the entire pig farm. The duration and frequency of sows' lactation are related to the growth, health and welfare of piglets, so it is particularly important to monitor sows' lactation behavior. At present, the lactation status of sows is mainly monitored manually, and lactation information is recorded to provide decision-making basis for further manual intervention. However, this method is time-consuming, labor-intensive and highly subjective. Using computer vision automatic monitoring technology to replace manual monitoring has become a problem that must be solved in pig farm management. [...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the shortcomings and deficiencies of the prior art, and proposes a computer vision sow lactation behavior recognition method, which overcomes the time-consuming and labor-consuming problems of traditional manual monitoring, automatically recognizes the lactation behavior, and provides information for further management decisions. Data support, improve the health status of pigs and the economic benefits of pig farms

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