国际泥沙研究培训中心创业十年

国际泥沙研究培训中心创业十年ＴｅｎＹｅａｒｓｏｆｔｈｅＩｎｔｅｒｎａｔｉｏｎａｌＴｒａｉｎｉｎｇＣｅｎｔｒｅｏｆＳｉｌｔＲｅｓｅａｒｃｈ￥／／徐明权（国际泥沙研究培训中心北京１０００４４）国际泥沙研究培训中心（以下简称“泥沙中心”）于１９８４年７Ｒ－...     

Individual Dairy Cattle Recognition Based on Deep Convolutional Neural Network

Image based individual dairy cattle recognition has gained much attention recently. In order to further improve the accuracy of individual dairy cattle recognition, an algorithm based on deep convolutional neural network( DCNN) is proposed in this paper,which enables automatic feature extraction and classification that outperforms traditional hand craft features. Through making multigroup comparison experiments including different network layers,different sizes of convolution kernel and different feature dimensions in full connection layer,we demonstrate that the proposed method is suitable for dairy cattle classification. The experimental results show that the accuracy is significantly higher compared to two traditional image processing algorithms: scale invariant feature transform( SIFT) algorithm and bag of feature( BOF) model.