Taxi Detection Based on Vehicle Painting Features for Urban Traffic Scenes

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

	Taxi Detection Based on Vehicle Painting Features for Urban Traffic Scenes
	Tian B(田滨); Li B(李泊); Li Y(李叶); Xiong G(熊刚); Zhu FH(朱凤华); Bin Tian
	2013
会议名称	IEEE International Conference on Vehicular Electronics and Safety
会议录名称	Proceedings of IEEE International Conference on Vehicular Electronics and Safety
会议日期	2013
会议地点	China
摘要	With rapid development of intelligent transportation systems (ITS), video-based road monitoring systems become increasingly popular. Most video processing systems concerns the detection and monitoring of all road vehicles. Few research refers to non-social vehicle detection specially, although it is critical for urban traffic management. In this paper, we present a video-based taxi detection system for urban transportation services. The taxi has obvious painting features. Firstly, vehicles are detected by localizing their license plates. The license plate is localized using its distinctive color and gradient features. Then, taxi features are extracted including the special color feature and the dome light with “TAXI” words. At last, taxi detection is performed by combining the detected licence plate and taxi features. Experiments in practical urban scenarios are carried out to evaluate the performance of our method.
关键词	Vehicle Detection Taxi Detection Urban Traffic Surveillance
收录类别	EI
语种	英语
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/12278
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 B,Li Y,et al. Taxi Detection Based on Vehicle Painting Features for Urban Traffic Scenes[C],2013.

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