Research on Algorithm for Multi Object Tracking Based on YOLOv5 and DeepSORT

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.