Salient Traffic Sign Video Detection Based on Hypercomplex Frequency Domain

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.

关键词： Visual Saliency Traffic Sign Video Detection Multi-scale Hypercomplex Frequency Domain

作者: LI Ce SONG Wenyang XIAO Limei HU Yaling PAN Xing

作者单位: College of Electrical and Information Engineering,Lanzhou Univ.of Tech,Lanzhou 730050,P.R.China;The College of Electrical and Information Engineering,Lanzhou Univ.of Tech,Lanzhou 730050,P.R.China

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 7379-7382

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）