Classification of non-motorized vehicle based on micro-Doppler effect and image processing

Yang Lin; Jing Liu; Lingzhi Zhu; Shuning Zhang

doi:10.1117/12.2684210

1 August 2023 Classification of non-motorized vehicle based on micro-Doppler effect and image processing

Yang Lin, Jing Liu, Lingzhi Zhu, Shuning Zhang

Author Affiliations +

Proceedings Volume 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023); 1275406 (2023) https://doi.org/10.1117/12.2684210
Event: 2023 3rd International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 2023, Hangzhou, China

Abstract

With the rise of the take-out food industry and bicycle sharing, the frequency of non-motorized vehicle using has increased significantly, and the ensuing safety hazards have become increasingly serious. Since motor vehicles are always subject to traffic violations by non-motorized vehicles, it is important to classify non-motorized vehicles for optimal handling in emergency situations. Due to the uniqueness of the target information, the micro-Doppler effect is increasingly used to distinguish between different targets. In this paper, we propose a non-motorized vehicle classification method based on the micro-Doppler effect and image processing. Firstly, the relationship model between ground non-motorized vehicles and radar is established, the expression of the echo signal is derived, and the simulation analysis is carried out according to the set parameters, the differences between the non-motorized time-domain frequency domain diagrams and the joint time-frequency diagrams were investigated. Secondly, the classification features of the car hub echo signal are introduced, and the feasibility of these features as classification criteria is verified by simulations. Then, the feature extraction methods based on image processing are introduced, and the extraction results of different edge detection operators are compared and analyzed. Finally, the classification method of non-motorized vehicles based on these three features is introduced.

Citation Download Citation

Yang Lin, Jing Liu, Lingzhi Zhu, and Shuning Zhang "Classification of non-motorized vehicle based on micro-Doppler effect and image processing", Proc. SPIE 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 1275406 (1 August 2023); https://doi.org/10.1117/12.2684210

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
11 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Doppler effect

Image processing

Time-frequency analysis

Radar

Edge detection

Feature extraction

Target recognition

Show All Keywords

Keywords/Phrases

Search In:

Publication Years