An Improved Tracking Method for Automatic Location of Traffic Signs in Image-Based Virtual Space

摘要：

　　Road traffic signs contain important traffic information so that the automatic location of traffic signs in the intelligent transportation system is especially important.This paper proposes an improved tracking method for automatic location of traffic signs in the image-based virtual space.Firstly, the regions of candidate traffic signs are extracted.Then moment invariants are used for traffic sign recognition.In Mean-Shift algorithm, the target model is initialized using the above recognitlon result, and Mean-Shift algorithm is used for tracking.On the basis of Mean-Shift algorithm, similarity of moment invariants between candidate model and standard templates are calculated for determining whether to update initial target model.Eventually, traffic signs are located through coordinate system transformation.The experiments show that the proposed method can not only effectively adjust the size of tracking window, update the target model, and improve the tracking result, but also satisfy the real-time requirement of our location system.

关键词： Traffic Sign Location Moment Invariants Mean-Shift Algorithm Image-Based Virtual Space

作者: Jing Zhang Ye Yu Xiaoping Liu

作者单位: School of Computer & Information, Hefei University of Technology, China

会议类型: 国际会议

会议名称: 第八届图像图形技术与应用学术会议(8th Conference on Image and Graphics Technologies and Applications)(IGTA2013)

会议地点: 北京

会议语种:英文

页码: 322-330

在线出版日期: 2013-04-02（万方平台首次上网日期，不代表论文的发表时间）