An Electronic Police System With Multiple Vehicle Parts Model

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 平行智能技术与系统团队

	An Electronic Police System With Multiple Vehicle Parts Model
	Tian B(田滨); Li Y(李叶); Li B(李泊); Zhu FH(朱凤华); Xiong G(熊刚); Bin Tian
	2013
会议名称	IEEE International Conference on Service Operations and Logistics, and Informatics
会议录名称	Proceedings of IEEE International Conference on Service Operations and Logistics, and Informatics
会议日期	2013
会议地点	China
摘要	With the development of urbanization, vehicle violations bring lots of problems for urban traffic. In this paper, we implement an electronic police system based on multiple salient vehicle parts for traffic surveillance. Vehicle is represented by its salient parts and its trajectory is obtained by tracking based on Kalman filter. First of all, multiple salient vehicle parts including the license plate and rear-lamps are localized using their distinctive features. Then vehicle tracking is performed using these parts with a Kalman filter to get vehicle motion trajectories. At last, traffic violations are detected by analyzing the vehicle trajectories and configuring various detection regions. Experiments show that our system is effective and it can achieve real-time performance for real traffic applications.
关键词	Vehicle Detection
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/12279
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
通讯作者	Bin Tian
作者单位	中国科学院自动化研究所
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Tian B,Li Y,Li B,et al. An Electronic Police System With Multiple Vehicle Parts Model[C],2013.

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