Salient traffic sign video detection based on hypercomplex frequency domain

doi:10.1109/ChiCC.2014.6896225

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	Salient traffic sign video detection based on hypercomplex frequency domain
	Li, Ce 1,2; Song, Wenyang 1; Xiao, Limei 1; Hu, Yaling 1; Pan, Xing 1
	2014-09-11
会议日期	July 28, 2014 - July 30, 2014
会议地点	Nanjing, China
关键词	Frequency domain analysis Detection precision Frequency domains Intelligent traffics Morphological operator Multi-scale Traffic sign detection Video detection Visual saliency
DOI	10.1109/ChiCC.2014.6896225
页码	7379-7382
英文摘要	Traffic sign detection under the dynamic video is one of the important research content in an intelligent traffic assistance safety system. The classic traffic sign detection methods adopted all kinds of visual features serial computation, failing to consider the interaction between various visual features, the detection precision need to be improved. Therefore, this paper proposed a novel multi-scale salient traffic sign video detection algorithm based on hypercomplex frequency domain. Firstly, hypercomplex vector is constructed by using the color visual and motion information of input video sequences. Then, the traffic sign location is detected by the normalized the multi-scale hypercomplex frequency domain visually salient image. Finally, the corresponding traffic sign is extracted by using the morphological operator in each video frame. The Experimental results indicate that compare with the traditional algorithm, the proposed method has higher precision and capacity of resisting disturbance to detect traffic sign under dynamic traffic background. © 2014 TCCT, CAA.
会议录	Proceedings of the 33rd Chinese Control Conference, CCC 2014
会议录出版者	IEEE Computer Society
语种	英语
ISSN号	19341768
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/117677]
专题	兰州理工大学
作者单位	1.College of Electrical and Information Engineering, Lanzhou Univ. of Tech., Lanzhou; 730050, China; 2.Electronic and Information Engineering School, Xi'An Jiaotong University, Xi'an; 710049, China
推荐引用方式 GB/T 7714	Li, Ce,Song, Wenyang,Xiao, Limei,et al. Salient traffic sign video detection based on hypercomplex frequency domain[C]. 见:. Nanjing, China. July 28, 2014 - July 30, 2014.