Vehicle detection based on And-Or Graph and Hybrid Image Templates for complex urban traffic conditions

CORC > 自动化研究所 > 中国科学院自动化研究所 > 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

	Vehicle detection based on And-Or Graph and Hybrid Image Templates for complex urban traffic conditions
	Li, Ye 1,2; Wang, Fei-Yue1
刊名	TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
	2015-02-01
卷号	51 页码:19-28
关键词	Vehicle detection And-Or Graph Hybrid Image Templates
英文摘要	In complex urban traffic conditions, occlusions among vehicles and between vehicles and non-vehicle objects are very common, which presents a major challenge to current vehicle detection methods. To circumvent this problem, we have proposed a vehicle detection method based on an And-Or Graph (AOG) and Hybrid Image Templates (HITs). In our AOG, the vehicle object is hierarchically decomposed into multiple vehicle parts by up-down and left-right division to reduce the impacts of vehicle occlusion. Furthermore, the vehicle parts are modeled by HITs to differentiate vehicles from non-vehicle objects effectively. These HITs integrate multiple features including sketch, texture, color and flatness so as to well describe the vehicle features. To test the performance of the proposed method, we have conducted a quantitative experiment and a comparison experiment. The experimental results show that, by combining AOG and HIT for vehicle identification, severe occlusions among vehicles and non-vehicle objects under complex urban traffic environments can be dealt with efficiently. Furthermore, the results also indicated that our method can adapt to variations in vehicle poses and shapes. (C) 2014 Elsevier Ltd. All rights reserved.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Transportation Science & Technology
研究领域[WOS]	Transportation
关键词[WOS]	OBJECT DETECTION ; RECOGNITION ; SYSTEMS
收录类别	SCI
语种	英语
WOS记录号	WOS:000349731900002
公开日期	2015-09-22
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/8058]
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, Peoples R China 2.Chinese Acad Sci, Technol & Engn Ctr Space Utilizat, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Li, Ye,Wang, Fei-Yue. Vehicle detection based on And-Or Graph and Hybrid Image Templates for complex urban traffic conditions[J]. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES,2015,51:19-28.
APA	Li, Ye,&Wang, Fei-Yue.(2015).Vehicle detection based on And-Or Graph and Hybrid Image Templates for complex urban traffic conditions.TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES,51,19-28.
MLA	Li, Ye,et al."Vehicle detection based on And-Or Graph and Hybrid Image Templates for complex urban traffic conditions".TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES 51(2015):19-28.