Multiple people continuous tracking and identification using millimeter-wave radar

Chunyu Wang; Jun Zhang; Yang Liu; Lihua Zhang

doi:10.1117/12.2680565

31 May 2023 Multiple people continuous tracking and identification using millimeter-wave radar

Chunyu Wang, Jun Zhang, Yang Liu, Lihua Zhang

Proceedings Volume 12704, Eighth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2023); 127041T (2023) https://doi.org/10.1117/12.2680565
Event: 8th International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2023), 2023, Hangzhou, China

Abstract

Automatic people tracking and identification have a lot of application prospects in access control, intelligent monitoring, personalized service, etc. Although the primary sensors used now are cameras, they are challenging to cope with low light conditions, adverse weather conditions, and clothing changes. The privacy risks brought by cameras cannot be ignored with people's increasing awareness of privacy. In this paper, we use a commercial millimeter-wave radar to track and identify multiple people indoors. The mmWave radar can "see" objects even in the dark and protects people's private information. We propose PPMM mechanism to solve the problem of tracking multiple people walking at close distances. What's more, we design transformer for mmWave radar pointclouds (TMP) based on transformer architecture. Finally, we evaluate our model and demonstrate the results on our dataset, which involved 6 people. Our method can track up to 3 people simultaneously. We achieve the best identification accuracy of 86.34% overall different numbers of people scenarios, and the accuracy of single, two, and three people scenarios are 87.93%, 87.00%, and 64.98%.

Citation Download Citation

Chunyu Wang, Jun Zhang, Yang Liu, and Lihua Zhang "Multiple people continuous tracking and identification using millimeter-wave radar", Proc. SPIE 12704, Eighth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2023), 127041T (31 May 2023); https://doi.org/10.1117/12.2680565

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