A Novel Approach for Vehicle Detection Using an AND-OR-Graph-Based Multiscale Model
Li, Ye1,2; Er, Meng Joo3; Shen, Dayong4
Source PublicationIEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
2015-08-01
Volume16Issue:4Pages:2284-2289
SubtypeArticle
AbstractIn 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.
KeywordAnd-or Graph (Aog) Multiscale Model Vehicle Detection
WOS HeadingsScience & Technology ; Technology
DOI10.1109/TITS.2014.2359493
WOS KeywordCLASSIFICATION ; RECOGNITION ; FEATURES
Indexed BySCI
Language英语
WOS Research AreaEngineering ; Transportation
WOS SubjectEngineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology
WOS IDWOS:000359253600059
Citation statistics
Cited Times:6[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/8900
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
Affiliation1.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
First Author AffilicationChinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
Recommended Citation
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.
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