Rear-View Vehicle Detection and Tracking by Combining Multiple Parts for Complex Urban Surveillance
文献类型：期刊论文
| 作者 | Tian, Bin1 ; Li, Ye1; Li, Bo1; Wen, Ding2; Bin Tian
|
| 刊名 | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
 |
| 出版日期 | 2014-04-01 |
| 卷号 | 15期号:2页码:597-606 |
| 关键词 | Kalman filter (KF) Markov random field (MRF) part-based object detection tracking vehicle detection |
| 通讯作者 | Bin Tian |
| 英文摘要 | Traffic surveillance is an important topic in intelligent transportation systems. Robust vehicle detection and tracking is one challenging problem for complex urban traffic surveillance. This paper proposes a rear-view vehicle detection and tracking method based on multiple vehicle salient parts using a stationary camera. We show that spatial modeling of these vehicle parts is crucial for overall performance. First, the vehicle is treated as an object composed of multiple salient parts, including the license plate and rear lamps. These parts are localized using their distinctive color, texture, and region feature. Furthermore, the detected parts are treated as graph nodes to construct a probabilistic graph using a Markov random field model. After that, the marginal posterior of each part is inferred using loopy belief propagation to get final vehicle detection. Finally, the vehicles' trajectories are estimated using a Kalman filter, and a tracking-based detection technique is realized. Experiments in practical urban scenarios are carried out under various weather conditions. It can be shown that our method adapts to partial occlusion and various lighting conditions. Experiments also show that our method can achieve real-time performance. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Engineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology |
| 研究领域[WOS] | Engineering ; Transportation |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000334584800012 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/3639]  |
| 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 |
| 通讯作者 | Bin Tian |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Natl Univ Def Technol, Ctr Mil Computat Expt & Parallel Syst, Changsha 410073, Hunan, Peoples R China |
| 推荐引用方式 GB/T 7714 | Tian, Bin,Li, Ye,Li, Bo,et al. Rear-View Vehicle Detection and Tracking by Combining Multiple Parts for Complex Urban Surveillance[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2014,15(2):597-606. |
| APA | Tian, Bin,Li, Ye,Li, Bo,Wen, Ding,&Bin Tian.(2014).Rear-View Vehicle Detection and Tracking by Combining Multiple Parts for Complex Urban Surveillance.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,15(2),597-606. |
| MLA | Tian, Bin,et al."Rear-View Vehicle Detection and Tracking by Combining Multiple Parts for Complex Urban Surveillance".IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 15.2(2014):597-606. |
入库方式： OAI收割
来源：自动化研究所
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