Pig posture recognition method based on Zernike moment and support vector machine

Abstract

The invention provides a pig posture recognition method based on a Zernike moment and a support vector machine. The method mainly includes the steps of conducting side view scene video image collection on behavior states of a pig in a pig house through a digital camera, preprocessing video images to extract a two-value skeleton map of the pig, conducting transverse moving normalization and dimension normalization on the two-value skeleton map of the pig with the method of regular moments, conducting feature extraction on the normalized images through the Zernike moment to obtain feature vectors, conducting design of a classifier for the behavior states of the pig based on the support vector machine, and conducting classification identification on the behavior states of the pig through the support vector machine for the feature vectors. Identification of the normal walking posture, the head-lowered walking posture, the head-raised walking posture and the lie-down posture of the pig can be identified through the machine vision technology and the support vector machine technology.

Description

technical field [0001] The invention relates to the technical field of machine vision, in particular to a pig posture recognition method based on Zernike moments and support vector machines. Background technique [0002] Animal behavior analysis has always been valued by animal researchers. It can be used to establish animal behavior spectrum and to study various behaviors and time occupied by animals within a period of time. The study of animal behavior spectrum is sometimes understood as "behavior morphology". [0003] Establishing the behavior spectrum of animals usually requires behaviorists to get along with animals for a long period of time, and to accurately and detailedly record the various behavior types of the animals under study without interfering with their various daily activities. Because animal behavior is as species-specific as animal form, both behavior and form are products of long-term evolution. In fact, every animal has its own behavioral spectrum, bu...

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the time-consuming, labor-intensive, low-efficiency, and high-manpower-cost deficiencies of the prior art, the present invention provides a pig posture recognition method based on Zernike moments and support vector machines, using machine vision and support vector machine technology to realize the normal detection of pigs. Recognition of four postures: walking, walking with head down, walking with head up, and lying down

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