现代信息科技2024，Vol.8Issue(10)：46-50,5.DOI:10.19850/j.cnki.2096-4706.2024.10.010
复杂场景中准确实时的人物识别算法研究
Research on Accurate and Real-time Character Recognition Algorithms in Complex Scenes
杨锦 1景飞 1张童童 1涂娅欣2
作者信息
- 1. 中国电子科技集团有限公司 第二十九研究所,四川 成都 610036||四川省宽带微波电路高密度集成工程研究中心,四川 成都 610036
- 2. 国网四川省电力公司 计量中心,四川 成都 610045
- 折叠
摘要
Abstract
Currently,single step object detectors based on Deep Learning have been widely used for real-time object detection,but their positioning accuracy for targets is poor,and there are problems such as missed detection and false detection of targets.This paper proposes an accurate and real-time character recognition algorithm for complex scenes.Firstly,this paper uses Gaussian YOLOv3 to estimate the coordinates and positioning uncertainty of the prediction box.Then,a Non-Maximum Suppression method based on Attention Mechanism is used to remove redundant detection boxes and improve the accuracy of target detection results.After self-built dataset training and testing,the improved Gaussian YOLOv3 has a character recognition accuracy of 83.1%,which is 1.68%higher than YOLOv3.The detection model can be applied to the recognition and positioning of military battlefield characters,providing effective technical support for battlefield situation awareness systems.关键词
人物识别/高斯模型/注意力机制/高斯YOLOv3/非极大值抑制Key words
character recognition/Gaussian model/Attention Mechanism/Gaussian YOLOv3/Non-Maximum Suppression分类
信息技术与安全科学引用本文复制引用
杨锦,景飞,张童童,涂娅欣..复杂场景中准确实时的人物识别算法研究[J].现代信息科技,2024,8(10):46-50,5.
