HP-YOLO: A Lightweight Real-Time Human Pose Estimation Method
Human Pose Estimation (HPE) plays a critical role in medical applications, particularly within nursing robotics for patient monitoring. Despite its importance, HPE faces several challenges, including high rates of false positives and negatives, stringent real-time requirements, and limited computati...
Saved in:
| Main Authors: | Haiyan Tu, Zhengkun Qiu, Kang Yang, Xiaoyue Tan, Xiujuan Zheng |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/6/3025 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Integrative properties of system of higher education: condition and assessment
Published: (2020-01-01) -
YOLOv8n-SMMP: A Lightweight YOLO Forest Fire Detection Model
by: Nianzu Zhou, et al.
Published: (2025-05-01) -
Enhancing UAV Object Detection in Low-Light Conditions with ELS-YOLO: A Lightweight Model Based on Improved YOLOv11
by: Tianhang Weng, et al.
Published: (2025-07-01) -
Research on lightweight pose estimation networks for classroom behavior recognition
by: XUE Tao, et al.
Published: (2024-12-01) -
Research on Lightweight Method of Insulator Target Detection Based on Improved SSD
by: Bing Zeng, et al.
Published: (2024-09-01)