CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 13064 > Article
Paper
20 February 2024 A vehicle images occlusion removal recognition method based on contextual self-encoder
Huizhi Xu, Yinan Chen, Aiqiu Song, Mengying Chang, Dongsheng Hao
Author Affiliations +
Proceedings Volume 13064, Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023); 130643D (2024) https://doi.org/10.1117/12.3015853
Event: 7th International Conference on Traffic Engineering and Transportation System (ICTETS 2023), 2023, Dalian, China
Abstract
During vehicle operation, occlusion phenomena occur, and the sensing device acquires incomplete image information, posing a new challenge to the recognition of vehicle information. Based on the convolutional and anti-convolutional structure of deep learning, we designed a contextual self-encoder to propose a vehicle de-occlusion recognition method based on contextual information. We constructed a vehicle dataset with 11 categories. Occlusions were generated using the PIL library, and the occlusion region was removed with a contextual self-encoder, improving the recall from 45.16% to 86.25%. To test the generalization performance of the algorithm, we designed experiments to analyze the effects of special weather, occlusion area, and occlusion location on the algorithm's generalization performance, respectively. After de-occlusion, the recall improved from 18.44% to 75.31% in special weather; increasing the occlusion area improved the recall from 33.59% to 85.63%; changing the occlusion location improved the recall from 44.38% to 86.56%. The experiments show that the method has good generalization performance and provides technical support for recognizing obscured vehicles.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Huizhi Xu, Yinan Chen, Aiqiu Song, Mengying Chang, and Dongsheng Hao "A vehicle images occlusion removal recognition method based on contextual self-encoder", Proc. SPIE 13064, Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023), 130643D (20 February 2024); https://doi.org/10.1117/12.3015853
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
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
 7 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Education and training
Detection and tracking algorithms
Target recognition
Image processing
Video
Feature extraction
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top