A 2DLDA Based Algorithm for Real Time Vehicle Type Recoginition
Hua Huang; Qian Zhao; Yulan Jia; Shuming Tang
2008
会议名称The Proceedings of the 11th IEEE International Conference on Intelligent Transportation Systems
会议录名称IEEE INTELLIGENT SYSTEMS
会议日期October 12-15, 2008
会议地点Beijing, China
摘要Vehicle type recognition generally refers to identifying the make and model of vehicles through collected images or other information. This paper presents a Two- Dimensional Linear Discriminant Analysis (2DLDA) based algorithm for real time vehicle type recognition. The algorithm is initiated by extracting a region of interest (ROI) relative to the located license plate, and then robust features obtained by performing 2DLDA on the gradients of ROI are used for recognition. Experimental results show that the algorithm can achieve high recognition accuracy (94.7%) and that it is not sensitive to variations of vehicle colors and light conditions. The computational complexity is low so that the algorithm can be implanted in real time.
关键词Vehicles Linear Discriminant Analysis Image Recognition Voting Robustness Intelligent Transportation Systems Testing Licenses Computational Complexity Pattern Recognition
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/12393
专题智能制造技术与系统研究中心_先进制造与自动化
通讯作者Hua Huang
推荐引用方式
GB/T 7714
Hua Huang,Qian Zhao,Yulan Jia,et al. A 2DLDA Based Algorithm for Real Time Vehicle Type Recoginition[C],2008.
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