An Edge Detection Algorithm of Moving Object Based on Background Modeling and Active Contour Model

摘要：

　　A novel algorithm based on background modelling and active contour model is proposed for moving object edge detection.Firstly,it uses the background modeling to complete moving object detection,then it uses quad-tree decomposition method to contain the corresponding to the foreground image,through the data distribution density of the sparse matrix,calculates the seed points corresponding to the regions which are containing the moving object.Finally,starting from these seed points,it executes the active contour model in parallel to complete the multiple moving objects edge detection.Experimental results show that the proposed algorithm can effectively obtain the object outlines of multi-moving objects and the edge detection results are close to the judgment of the human visual,parallel contour extraction makes our algorithm has good real-time.

关键词： background modeling sparse matrix active contour model edge detection

作者: Bo Wang Kun Zhang Liang Shi Huihui Zhong

作者单位: First Author Wuhan University of Technology, Hubei, ChinaQinhuangdao Institute of Technology, Hebei, Northeastern University at Qinhuangdao, Hebei, China Environmental Management College of China, Hebei, China Qinhuangdao Institute of Technology, Hebei, China

会议类型: 国际会议

会议名称: 2013 2nd International Conference on Systems Engineering and Modeling(ICSEM-13)(2013年第二届系统工程与建模国际会议)

会议地点: 北京

会议语种:英文

页码: 340-346

在线出版日期: 2013-04-19（万方平台首次上网日期，不代表论文的发表时间）