Coupled Multivehicle Detection and Classification With Prior Objectness Measure
文献类型：期刊论文
| 作者 | Yao, Yanjie ; Tian, Bin; Wang, Fei-Yue
|
| 刊名 | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
 |
| 出版日期 | 2017-03-01 |
| 卷号 | 66期号:3页码:1975-1984 |
| 关键词 | Convolutional neural network (CNN) multivehicle detection object proposals vehicle classification |
| 英文摘要 | 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. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Engineering, Electrical & Electronic ; Telecommunications ; Transportation Science & Technology |
| 研究领域[WOS] | Engineering ; Telecommunications ; Transportation |
| 关键词[WOS] | VEHICLE DETECTION |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000396401400007 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/14418]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队 |
| 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. |
入库方式： OAI收割
来源：自动化研究所
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