Pig gait anomaly detection method based on ellipse fitting and predictive neural network

Abstract

The invention discloses a pig gait anomaly detection method based on ellipse fitting and a predictive neural network. The method comprises steps: a video sample needed for an experiment is collected; the video sample is intercepted to acquire continuous target frames, the target frames are pre-processed, and a pig contour sequence with normal walking and abnormal gaits is obtained; ellipse fitting is used for modeling each part of the pig body, and a pig walking gait feature parameter sequence is built; through principal component analysis, the extracted features are subjected to optimized processing, and a feature sequence is extracted; and the predictive neural network is used for building a training model about normal walking and abnormal gait feature sequences, and through the training model, whether the inputted gait sequence belongs to abnormal walking is detected. Abnormal walking, such as laming, diseases of the forelimbs and instable forelimb walking caused by injuries of the pig, can be effectively recognized, and a good basis is provided for realizing a large-scale and intelligent pig industry.

Description

technical field [0001] The invention relates to image processing and pattern recognition, in particular to a pig gait abnormal detection method based on ellipse fitting and predictive neural network. Background technique [0002] At this stage, the gait detection and application for the human body have been greatly developed, and the angle information related to the gait when people walk has also become one of the important factors for identifying and judging the gait. In 2008, the research team of the College of Agricultural and Biosystems Engineering of Iowa State University in the United States studied the comfort evaluation and control of pigs in captivity based on machine vision, and carried out visual monitoring of the sleeping position of multiple pigs for temperature comfort , so as to evaluate the environment of the pig house and intelligently regulate the temperature of the pig house, in order to realize the intelligent pig breeding mode. In 2009, a research team ...

AI Technical Summary

Problems solved by technology

However, some pig diseases are still not detected and treated in a timely and effective manner

For pig diseases such as foot-and-mouth disease that can cause abnormal gait in pigs, if the disease cannot be eradicated at the initial stage, the epidemic will rapidly expand and spread, resulting in an unmanageable situation

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