Coupled Multivehicle Detection and Classification With Prior Objectness Measure
Yao, Yanjie; Tian, Bin; Wang, Fei-Yue
2017-03-01
发表期刊IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
卷号66期号:3页码:1975-1984
文章类型Article
摘要Vehicle 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.
关键词Convolutional Neural Network (Cnn) Multivehicle Detection Object Proposals Vehicle Classification
WOS标题词Science & Technology ; Technology
DOI10.1109/TVT.2016.2582926
关键词[WOS]VEHICLE DETECTION
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(61304200 ; Natural Science Foundation of Guangdong Province, China(2015A030310187) ; 61503380 ; 71232006 ; 61233001)
WOS研究方向Engineering ; Telecommunications ; Transportation
WOS类目Engineering, Electrical & Electronic ; Telecommunications ; Transportation Science & Technology
WOS记录号WOS:000396401400007
引用统计
被引频次:3[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/14418
专题复杂系统管理与控制国家重点实验室_先进控制与自动化
作者单位Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
推荐引用方式
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.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Coupled Multivehicle(1309KB)期刊论文作者接受稿开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Yao, Yanjie]的文章
[Tian, Bin]的文章
[Wang, Fei-Yue]的文章
百度学术
百度学术中相似的文章
[Yao, Yanjie]的文章
[Tian, Bin]的文章
[Wang, Fei-Yue]的文章
必应学术
必应学术中相似的文章
[Yao, Yanjie]的文章
[Tian, Bin]的文章
[Wang, Fei-Yue]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Coupled Multivehicle Detection and Classification With Prior Objectness Measure.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。