Airborne moving vehicle detection for video surveillance of urban traffic

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 > 机器人应用与理论组

	Airborne moving vehicle detection for video surveillance of urban traffic
	Lin, Renjun; Cao, Xianbin; Xu, Yanwu; Wu, Changxia; Qiao, Hong
	2009
会议名称	IEEE Intelligent Vehicles Symposium
会议日期	JUN 03-05, 2009
会议地点	Xian, PEOPLES R CHINA
关键词	automated highways / feature extraction / image sequences / traffic engineering computing / video surveillance / airborne moving vehicle detection / airborne urban traffic surveillance / background variance / camera vibration / coarse-to-fine method
通讯作者	Cao, Xianbin
英文摘要	Urban traffic surveillance, which is designed to improve traffic management, is an important part of intelligent traffic system (ITS). In particular, airborne moving vehicle detection has become a new but hot research area since its wide view and low cost. However, airborne urban traffic surveillance is impacted by many difficulties such as camera vibration, vehicle congestion, background variance, serious thermal noise etc. Therefore, image subtraction and thermal image processing have low detection rate, while the optical flow method cannot meet the real-time application. In this paper, we propose a coarse-to-fine method, which can be divided into two stages of pre-processing and classification inspection. In pre-processing stage, the candidates regions of moving vehicle are obtained by employing Road Detection, Removal of Non-vehicle Regions and Moving Regions Extraction. The speed of this stage is fast but there is still relatively high false-positive-rate. In classification inspection stage, a well-trained cascade classifier, which refines the candidate regions, is designed to maintain a higher detection rate and a lower false alarm rate. Experimental results demonstrate that compared with representative algorithms, our method reach better performance in detection rate and false-positive-rate, while meeting the needs of real-time application.
会议录	2009 IEEE INTELLIGENT VEHICLES SYMPOSIUM
内容类型	会议论文
源URL	[http://ir.ia.ac.cn/handle/173211/12810]
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 video surveillance of urban traffic[C]. 见:IEEE Intelligent Vehicles Symposium. Xian, PEOPLES R CHINA. JUN 03-05, 2009.