Multi-target personnel tracking algorithm for coal mine based on improved YOLOv7 and ByteTrack
In order to solve the problems of low accuracy and poor real-time performance of existing target tracking algorithms in the complex environment of coal mines, a YOLO-FasterNet+ByteTrack coal mine personnel tracking algorithm was proposed based on the Tracking by Detection (TBD) paradigm. Firstly, th...
Saved in:
Main Authors: | Pengcheng QU, Jingzhao LI, Zechao LIU |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Office of Safety in Coal Mines
2025-01-01
|
Series: | Meikuang Anquan |
Subjects: | |
Online Access: | https://www.mkaqzz.com/cn/article/doi/10.13347/j.cnki.mkaq.20240314 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Vehicle Flow Detection and Tracking Based on an Improved YOLOv8n and ByteTrack Framework
by: Jinjiang Liu, et al.
Published: (2024-12-01) -
Vehicle Detection and Tracking Based on Improved YOLOv8
by: Yunxiang Liu, et al.
Published: (2025-01-01) -
A Two-Point Association Tracking System Incorporated With YOLOv11 for Real-Time Visual Tracking of Laparoscopic Surgical Instruments
by: Nyi Nyi Myo, et al.
Published: (2025-01-01) -
Research on Improved YOLOv7 for Traffic Obstacle Detection
by: Yifan Yang, et al.
Published: (2024-12-01) -
BiAF: research on dynamic goat herd detection and tracking based on machine vision
by: Yun Hou, et al.
Published: (2025-02-01)