Research on multi target tracking algorithm of double video based on YOLOv5

Xin Zhang; Fang Li

doi:10.1117/12.2675273

25 May 2023 Research on multi target tracking algorithm of double video based on YOLOv5

Xin Zhang, Fang Li

Proceedings Volume 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022); 126362U (2023) https://doi.org/10.1117/12.2675273
Event: Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 2022, Shenyang, China

Abstract

Object detection in real scenes has always been a research hotspot, and dual-video object detection is one of the key researches. In this paper, deep learning YOLOv5 algorithm is first proposed to detect pedestrian targets, and then the realtime stitching technology can be used to achieve image fusion, so as to achieve the dual-video target pedestrian tracking algorithm. The experimental results show that the pedestrian target obtains good continuous tracking effect in the fast moving environment.

Citation Download Citation

Xin Zhang and Fang Li "Research on multi target tracking algorithm of double video based on YOLOv5", Proc. SPIE 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 126362U (25 May 2023); https://doi.org/10.1117/12.2675273

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available