Application of Improved YOLOv3 Algorithm in Mask Recognition
Lect. Notes Comput. Sci.
; 12672 LNAI:544-555, 2021.
Article
in English
| Scopus | ID: covidwho-1212814
ABSTRACT
With the influence of novel coronavirus, wearing masks is becoming more and more important. If computer vision system is used in public places to detect whether a pedestrian is wearing a mask, it will improve the efficiency of social operation. Therefore, a new mask recognition algorithm based on improved yolov3 is proposed. Firstly, the dataset is acquired through network video;secondly, the dataset is preprocessed;finally, a new network model is proposed and the activation function of YOLOv3 is changed. The average accuracy of the improved YOLOv3 algorithm is 83.79%. This method is 1.18% higher than the original YOLOv3. © 2021, Springer Nature Switzerland AG.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
Lect. Notes Comput. Sci.
Year:
2021
Document Type:
Article
Similar
MEDLINE
...
LILACS
LIS