中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Airborne moving vehicle detection for urban traffic surveillance

文献类型:会议论文

作者Lin, Renjun; Cao, Xianbin; Xu, Yanwu; Wei, Chuangxian; Qiao, Hong
出版日期2008
会议名称11th IEEE International Conference on Intelligent Transportation Systems (ITSC 2008)
会议日期OCT 12-15, 2008
会议地点Beijing, PEOPLES R CHINA
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
通讯作者Lin, Renjun
英文摘要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.
会议录PROCEEDINGS OF THE 11TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS
源URL[http://ir.ia.ac.cn/handle/173211/12818]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_机器人应用与理论组
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]. 见:11th IEEE International Conference on Intelligent Transportation Systems (ITSC 2008). Beijing, PEOPLES R CHINA. OCT 12-15, 2008.

入库方式: OAI收割

来源:自动化研究所

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