Coupled Multivehicle Detection and Classification With Prior Objectness Measure
Yao, Yanjie; Tian, Bin; Wang, Fei-Yue
Source PublicationIEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
2017-03-01
Volume66Issue:3Pages:1975-1984
SubtypeArticle
AbstractVehicle recognition plays an important role in traffic surveillance systems, advanced driver-assistance systems, and autonomous vehicles. This paper presents a novel approach for multivehicle recognition that considers vehicle space location and classification as a coupled optimization problem. It can speed up the detection process with more accurate vehicle region proposals and can recognize multiple vehicles using a single model. The proposed detector is implemented in three stages: 1) obtaining candidate vehicle locations with prior objectness measure; 2) classifying vehicle region proposals to distinguish the three common types of vehicles (i.e., car, taxi, and bus) by a single convolutional neural network (CNN); and 3) coupling classification results with the detection process, which leads to fewer false positives. In experiments on high-resolution traffic images, our method achieves unique characteristics: 1) It matches the state-of-the-art detection accuracy; 2) it is more efficient in generating a smaller set of high-quality vehicle windows; 3) its searching time is decreased by about 30 times compared with the other two popular detection schemes; and 4) it recognizes different vehicles in each image using a single CNN model with eight layers.
KeywordConvolutional Neural Network (Cnn) Multivehicle Detection Object Proposals Vehicle Classification
WOS HeadingsScience & Technology ; Technology
DOI10.1109/TVT.2016.2582926
WOS KeywordVEHICLE DETECTION
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61304200 ; Natural Science Foundation of Guangdong Province, China(2015A030310187) ; 61503380 ; 71232006 ; 61233001)
WOS Research AreaEngineering ; Telecommunications ; Transportation
WOS SubjectEngineering, Electrical & Electronic ; Telecommunications ; Transportation Science & Technology
WOS IDWOS:000396401400007
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/14418
Collection复杂系统管理与控制国家重点实验室_先进控制与自动化
AffiliationChinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Yao, Yanjie,Tian, Bin,Wang, Fei-Yue. Coupled Multivehicle Detection and Classification With Prior Objectness Measure[J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY,2017,66(3):1975-1984.
APA Yao, Yanjie,Tian, Bin,&Wang, Fei-Yue.(2017).Coupled Multivehicle Detection and Classification With Prior Objectness Measure.IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY,66(3),1975-1984.
MLA Yao, Yanjie,et al."Coupled Multivehicle Detection and Classification With Prior Objectness Measure".IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 66.3(2017):1975-1984.
Files in This Item: Download All
File Name/Size DocType Version Access License
Coupled Multivehicle(1309KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Yao, Yanjie]'s Articles
[Tian, Bin]'s Articles
[Wang, Fei-Yue]'s Articles
Baidu academic
Similar articles in Baidu academic
[Yao, Yanjie]'s Articles
[Tian, Bin]'s Articles
[Wang, Fei-Yue]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Yao, Yanjie]'s Articles
[Tian, Bin]'s Articles
[Wang, Fei-Yue]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Coupled Multivehicle Detection and Classification With Prior Objectness Measure.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.