کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6923804 1448364 2018 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Towards on-farm pig face recognition using convolutional neural networks
ترجمه فارسی عنوان
به رسمیت شناختن چهره در مزرعه با استفاده از شبکه های عصبی کانولوشن
کلمات کلیدی
شناسایی چهره چهره، یادگیری عمیق، شبکه عصبی متقاطع، بیومتریک،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی
Identification of individual livestock such as pigs and cows has become a pressing issue in recent years as intensification practices continue to be adopted and precise objective measurements are required (e.g. weight). Current best practice involves the use of RFID tags which are time-consuming for the farmer and distressing for the animal to fit. To overcome this, non-invasive biometrics are proposed by using the face of the animal. We test this in a farm environment, on 10 individual pigs using three techniques adopted from the human face recognition literature: Fisherfaces, the VGG-Face pre-trained face convolutional neural network (CNN) model and our own CNN model that we train using an artificially augmented data set. Our results show that accurate individual pig recognition is possible with accuracy rates of 96.7% on 1553 images. Class Activated Mapping using Grad-CAM is used to show the regions that our network uses to discriminate between pigs.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Industry - Volume 98, June 2018, Pages 145-152
نویسندگان
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