CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 10033 > Article
Paper
29 August 2016 Rear-view vehicle detection based on MSER and spatial combination feature description
Yao Yao, Jianyu Yang, Qin Gu, Yuqiang Zhai
Author Affiliations +
Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 1003342 (2016) https://doi.org/10.1117/12.2245188
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China
Abstract
With the rapid development of smart city and intelligent transportation systems(ITS), traffic surveillance plays an important role on traffic and city safety. However, due to the variation of the illumination conditions and complex urban scenarios, camera-based vehicle detection becomes an emerging and challenging problem. In this paper, an effective and robust framework of rear-view vehicle detection for complex urban surveillance is proposed. Firstly, original image is decomposed into red-green-blue(RGB) color space with multi-channel enhancement technique. The region of interested (ROI) are then located by the unique color and texture utilizing maximally stable extremal region(MSER) algorithm. Furthermore, with special and relatively fixed spatial relationship of rear-lamp and license plate, a novel spatial combination feature (SCF) description is proposed. By utilizing the state-of-art support vector machine(SVM) on the proposed SCFs, the vehicle detection problem is recast into a supervised learning classification problem. The proposed method is fully evaluated and tested under different illumination conditions and real complex urban scenarios. Experimental results demonstrate the effectiveness and the robustness for the proposed detection framework.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Yao Yao, Jianyu Yang, Qin Gu, and Yuqiang Zhai "Rear-view vehicle detection based on MSER and spatial combination feature description", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 1003342 (29 August 2016); https://doi.org/10.1117/12.2245188
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
 5 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image enhancement
Surveillance
Feature extraction
Video
RGB color model
Video surveillance
Detection and tracking algorithms
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top