A Vehicle Detection Method in Tunnel Video Based on ViBe Algorithm

摘要：

　　A vehicle detection method in tunnel video is proposed based on ViBe(Visual Background Extractor)algorithm.The proposed method consists of three steps: firstly,histogram equalization is used to preprocessing the video aiming at improving the quality of the video images; secondly,the classic ViBe algorithm is adopted to model the background and detect the moving vehicles; finally,morphological filtering is applied to remove the noise pixels in the detection results.Experimental results on real tunnel video demonstrated that the proposed method can achieve better detection performance for moving vehicles than the classic ViBe algorithm.

关键词： vehicle detection ViBe algorithm histogram equalization morphological filtering

作者: Zhu Qiming Ma ChengQian

作者单位: School of Computer Science and Technology Wuhan University Technology Wuhan,China

会议类型: 国际会议

会议名称: 2017 IEEE 2nd Advanced Information Technology,Electronic and Automation Control Conference(IAEAC 2017)(2017 IEEE 第2届先进信息技术、电子与自动化控制国际会议)

会议地点: 重庆

会议语种:英文

页码: 1545-1548

在线出版日期: 2017-03-25（万方平台首次上网日期，不代表论文的发表时间）