A Novel Approach for Vehicle Detection Using an AND-OR-Graph-Based Multiscale Model
文献类型：期刊论文
| 作者 | Li, Ye1,2; Er, Meng Joo3; Shen, Dayong4 |
| 刊名 | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
 |
| 出版日期 | 2015-08-01 |
| 卷号 | 16期号:4页码:2284-2289 |
| 关键词 | AND-OR Graph (AOG) multiscale model vehicle detection |
| 英文摘要 | In this paper, a novel approach for detecting multiscale vehicles with time-varying vehicle features based on a multiscale AND-OR graph (AOG) model is proposed. Our approach consists of two steps, i.e., construction of a multiscale AOG model and an inference process for vehicle detection. The multiscale model uses global features to describe low-scale vehicles and local features to represent high-scale vehicles. Meanwhile, multiple appearances, such as sketch, flatness, texture, and color, are used to represent the global and local features. By virtue of the use of both global and local features as well as multiple appearances, our model is more suitable for describing multiscale vehicles in complex urban traffic conditions. Based on this multiscale model, an inference process using local features (local process) is integrated with a process using global features (global process) to detect multiscale vehicles. To evaluate the performance of our proposed method, a validation experiment, a quantitative evaluation, and a contrasting experiment are conducted. The experimental results show that our proposed approach can efficiently detect multiscale vehicles. In addition, the results also demonstrate that our approach is able to handle partial vehicle occlusion and various vehicle shapes and has great potential for real-world applications. |
| 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 |
| 关键词[WOS] | CLASSIFICATION ; RECOGNITION ; FEATURES |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000359253600059 |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/8900]  |
| 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 | 1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Technol & Engn Ctr Space Utilizat, Beijing 100864, Peoples R China 3.Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore 4.Natl Univ Def Technol, Res Ctr Computat Experiments & Parallel Syst, Changsha 410073, Hunan, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Ye,Er, Meng Joo,Shen, Dayong. A Novel Approach for Vehicle Detection Using an AND-OR-Graph-Based Multiscale Model[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2015,16(4):2284-2289. |
| APA | Li, Ye,Er, Meng Joo,&Shen, Dayong.(2015).A Novel Approach for Vehicle Detection Using an AND-OR-Graph-Based Multiscale Model.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,16(4),2284-2289. |
| MLA | Li, Ye,et al."A Novel Approach for Vehicle Detection Using an AND-OR-Graph-Based Multiscale Model".IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 16.4(2015):2284-2289. |
入库方式： OAI收割
来源：自动化研究所
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