Statistical method of rumination chewing and swallowing times of cow based on machine vision

Abstract

The invention relates to a statistical method of rumination chewing and swallowing times of a cow based on machine vision. The statistical method is characterized by comprising the following steps: 1) extracting cow shape features, training the extracted cow shape features as samples to obtain a sample library; 2) obtaining a video image containing chewing actions of the cow through a video collection device fixedly arranged in a cow rest area, performing data processing on the video image, and matching the video image with the sample library to accomplish the classification and match of head activity area modes of the cow; 3) importing the matched video image into the sample library as a new sample, performing mode classification and match on a subsequent video image in the step 2) by adopting the new sample library until all video images are processed, and executing step 4); and 4) locating a mouth action of the cow, judging a rumination chewing behavior of the cow by using an inter-frame difference method, and counting the chewing and swallowing times. The statistical method provided by the invention can be widely applied to the monitoring of health states of cows.

Description

technical field [0001] The invention relates to a machine vision-based method for counting the number of times of chewing and swallowing of dairy cows, and relates to the field of animal behavior monitoring. Background technique [0002] The rumination behavior of dairy cows is an important indicator reflecting the individual status of dairy cows. The rumination time and the number and speed of chewing each ruminant bolus can intuitively reflect indicators such as milk production, reproductive cycle and health status of dairy cows. Changes in rumination are the earliest sign of a potential problem in the cow. Through the monitoring of rumination behavior, diseases can be detected early, prevented and treated in advance, which plays an important role in maintaining the health of dairy cows, overcoming reproductive obstacles, and increasing milk production. Therefore, the monitoring of rumination behavior of dairy cows is crucial for dairy farms. [0003] There have been a l...

AI Technical Summary

Problems solved by technology

This method requires each monitored object to wear a monitoring device, which not only affects the normal activities of the animal, but also is affected by the battery life and equipment life. It needs to be replaced regularly, and the operating cost is high; there is a gap between the monitored object and the signal receiving device. The distance is limited, and the range of activities of animals is limited by the equipment; in addition, this monitoring equipment can only judge the behavior of the detected object, such as distinguishing whether the action is ruminating or drinking water, but cannot distinguish the details of the action, and can only record the total time of ruminating every day. However, the number of ruminations and the number of chews per bolus could not be recorded

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