A joint algorithm of multi-target detection and tracking for underground miners
The existing multi-target tracking algorithms for underground miners has the problems of slow detection speed and low recognition precision. In order to solve the above problems, a joint algorithm of multi-target detection and tracking algorithm based on the improved YOLOv5s model and the improved D...
Main Authors: | ZHOU Mengran, LI Xuesong, ZHU Ziwei, HUANG Kaiwen |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Department of Industry and Mine Automation
2022-10-01
|
Series: | Gong-kuang zidonghua |
Subjects: | |
Online Access: | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2022060040 |
Similar Items
-
Vehicle Multi-Object Detection and Tracking Algorithm Based on Improved You Only Look Once 5s Version and DeepSORT
by: Thioanh Bui, et al.
Published: (2024-03-01) -
A Real-Time Tracking Algorithm for Multi-Target UAV Based on Deep Learning
by: Tao Hong, et al.
Published: (2022-12-01) -
Helmet-Wearing Tracking Detection Based on StrongSORT
by: Fufang Li, et al.
Published: (2023-02-01) -
Smart Logistics Warehouse Moving-Object Tracking Based on YOLOv5 and DeepSORT
by: Tingbo Xie, et al.
Published: (2023-09-01) -
Parking Time Violation Tracking Using YOLOv8 and Tracking Algorithms
by: Nabin Sharma, et al.
Published: (2023-06-01)