Research on Algorithm for Multi Object Tracking Based on YOLOv5 and DeepSORT
- Resource Type
- Conference
- Authors
- Peng, Wenliang; Zhang, En; Lu, Guiping; Zhang, Xiaofeng
- Source
- 2023 IEEE 6th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Automation, Electronics and Electrical Engineering (AUTEEE), 2023 IEEE 6th International Conference on. :1198-1203 Dec, 2023
- Subject
- Communication, Networking and Broadcast Technologies
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
YOLO
Deep learning
Visualization
Transportation
Feature extraction
Video surveillance
Object tracking
Deep Learning
YOLOv5
DeepSORT
Dataset
- Language
- ISSN
- 2831-4549
Deep learning based object detection technology and multi object tracking technology are the main research branches in the field of machine vision. The research results in this field have a wide range of application scenarios in intelligent driving, video surveillance, and intelligent transportation. This article uses the DeepSORT multi-target tracking algorithm based on YOLOv5 detection to conduct research on pedestrian multi-target tracking and crowd monitoring mask detection. The aim is to provide an efficient automatic detection system to replace epidemic prevention and control in densely populated areas.