Airborne moving vehicle detection for urban traffic surveillance

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 机器人理论与应用

	Airborne moving vehicle detection for urban traffic surveillance
	Lin, Renjun; Cao, Xianbin; Xu, Yanwu; Wei, Chuangxian; Qiao, Hong
	2008
会议名称	11th IEEE International Conference on Intelligent Transportation Systems (ITSC 2008)
会议录名称	PROCEEDINGS OF THE 11TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS
会议日期	OCT 12-15, 2008
会议地点	Beijing, PEOPLES R CHINA
摘要	At present, moving vehicle detection on airborne platform has been an important technology for urban traffic surveillance. In such a situation, most commonly used methods (e.g. image subtraction) could hardly work well because of some additional difficulties such as slow movement of vehicles and jam. This paper proposed a new moving vehicle detection method named MVD-RD for airborne urban traffic surveillance:. First, the non-road regions tire extracted using toad detection technique. Secondly, the non-road regions with no vehicles are removed according to their size. As a result of this two-stage regions shrinkage, the detection area reduces a lot. Finally, to the reduced area, image subtraction is used to get all moving regions and then moving vehicles can be accurately filtered in a simple way. The experimental results show that, compared with traditional image subtraction, methane used in airborne moving; vehicle detection, the proposed MVD-RD method achieves much better performance in detection rate, false alarm rate, and detection speed.
关键词	Feature Extraction / Filtering Theory / Object Detection / Remotely Operated Vehicles / Road Traffic / Road Vehicles / Surveillance / Airborne Moving Vehicle Detection / Filtering Theory / Image Subtraction
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/12818
专题	多模态人工智能系统全国重点实验室_机器人理论与应用
通讯作者	Lin, Renjun
作者单位	Univ Sci & Technol China
推荐引用方式 GB/T 7714	Lin, Renjun,Cao, Xianbin,Xu, Yanwu,et al. Airborne moving vehicle detection for urban traffic surveillance[C],2008.