信息工程大学学报2024，Vol.25Issue(2)：175-180,226,7.DOI:10.3969/j.issn.1671-0673.2024.02.008
面向智慧养老的改进YOLOv7人脸识别算法
Improved YOLOv7 Face Recognition Algorithm for Smart Pension
戴莹 1叶贵1
作者信息
- 1. 安徽警官职业学院,安徽合肥 233670
- 折叠
摘要
Abstract
To meet the current aging trend of society and meet the development needs of the field of old-age care,an improved YOLOv7 face recognition algorithm for smart pension is proposed.Firstly,a multi-scale information input module is proposed to extract the global information of the image and improve the information utilization rate.Secondly,the face features of the elderly are summarized,and a global adaptive feature extraction module is proposed,which combines attention mechanism to improve the backbone network and detection head.Finally,the network is trained by transfer learn-ing method,the feature weights are assigned by polynomial loss strategy,and the parameters are continuously debugged to improve the network identification ability.The experimental results show that the accuracy and recall of the proposed network on the old face data set reach 95.26％and 91.57％respectively,and the network parameters are reduced by 5.4％compared with the original YOLOv7.关键词
智慧养老/人脸识别/YOLOv7算法/注意力机制Key words
smart pension/face recognition/YOLOv7 algorithm/attention mechanism分类
信息技术与安全科学引用本文复制引用
戴莹,叶贵..面向智慧养老的改进YOLOv7人脸识别算法[J].信息工程大学学报,2024,25(2):175-180,226,7.
