Individual Identification of Dairy Cows Based on Deep Feature Extrac-tion and Matching

作     者：Shen Wei-zheng Sun Jia Liang Chen Shi Wei Guo Jin-yan Zhang Zhe Zhang Yong-gen Shen Wei-zheng;Sun Jia;Liang Chen;Shi Wei;Guo Jin-yan;Zhang Zhe;Zhang Yong-gen

作者机构：College of Electrical Engineering and InformationNortheast Agricultural UniversityHarbin 150030China Heilongjiang Agricultural Technology Extension StationHarbin 150030China College of Animal Sciences and TechnologyNortheast Agricultural UniversityHarbin 150030China 

出 版 物：《Journal of Northeast Agricultural University(English Edition)》 (东北农业大学学报（英文版）)

年 卷 期：2022年第29卷第3期

页      面：85-96页

学科分类：090502[农学-动物营养与饲料科学] 0905[农学-畜牧学] 09[农学] 

基　　金：Supported by the National Key Research and Development Program of China(2019YFE0125600) China Agriculture Research System(CARS-36) 

主　　题：cow individual identification convolutional neural networks deep feature extraction feature matching 

摘      要：Individual identification of dairy cows is the prerequisite for automatic analysis and intelligent perception of dairy cows *** present,individual identification of dairy cows based on deep convolutional neural network had the disadvantages in prolonged training at the additions of new cows ***,a cow individual identification framework was proposed based on deep feature extraction and matching,and the individual identification of dairy cows based on this framework could avoid repeated ***,the trained convolutional neural network model was used as the feature extractor;secondly,the feature extraction was used to extract features and stored the features into the template feature library to complete the enrollment;finally,the identifies of dairy cows were *** on this framework,when new cows joined the herd,enrollment could be completed *** order to evaluate the application performance of this method in closed-set and open-set individual identification of dairy cows,back images of 524 cows were collected,among which the back images of 150 cows were selected as the training data to train feature *** data of the remaining 374 cows were used to generate the template data set and the data to be *** experiment results showed that in the closed-set individual identification of dairy cows,the highest identification accuracy of top-1 was 99.73%,the highest identification accuracy from top-2 to top-5 was 100%,and the identification time of a single cow was 0.601 s,this method was verified to be *** the open-set individual identification of dairy cows,the recall was 90.38%,and the accuracy was 89.46%.When false accept rate(FAR)=0.05,true accept rate(TAR)=84.07%,this method was verified that the application had certain research value in open-set individual identification of dairy cows,which provided a certain idea for the application of individual identification in the field of intelligent animal