Detection and tracking of mask wearing based on deep learning
Wearing a mask can effectively prevent the spread of the virus. In order to reduce the consumption of a large number of human resources in manual inspection of mask wearing, this paper proposes a method of mask wearing detection and tracking based on deep learning, which is divided into two modules:...
Saved in:
| Main Authors: | Wang Lin, Nan Gaigai |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
National Computer System Engineering Research Institute of China
2022-05-01
|
| Series: | Dianzi Jishu Yingyong |
| Subjects: | |
| Online Access: | http://www.chinaaet.com/article/3000149427 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Research on Enhanced Dynamic Pig Counting Based on YOLOv8n and Deep SORT
by: Peng Shen, et al.
Published: (2025-04-01) -
A New, Robust, Adaptive, Versatile, and Scalable Abandoned Object Detection Approach Based on DeepSORT Dynamic Prompts, and Customized LLM for Smart Video Surveillance
by: Merve Yilmazer, et al.
Published: (2025-03-01) -
Modern technologies for hiding people's faces using object tracking based on YOLOv5 and DeepSort
by: А. Щур, et al.
Published: (2024-03-01) -
Rotifer detection and tracking framework using deep learning for automatic culture systems
by: Naoto Ienaga, et al.
Published: (2024-12-01) -
Ensemble Deep Learning Object Detection Fusion for Cell Tracking, Mitosis, and Lineage
by: Imad Eddine Toubal, et al.
Published: (2024-01-01)