The Motion Detection Based on Background Difference Method and Active Contour Model

摘要：

For the traditional moving target detection algorithm exists some problems such as determining threshold problems and more sensitive to noise, this paper presents a rapid extraction method based on variation level set of the edge blur moving objects. This method used the background difference method extract initial outline of moving target, and then used active contour model constraint edge detection; the final combined variation level set method with a second evolution to obtain accurate image segmentation. Experiments show that this method can rapidly and accurately segment moving object, for moving objects of different shapes and the rules of small-angle shot has a good adaptability and robustness.

关键词： Moving Target Detection Active Contour Model Background Difference Variation Level Set

作者: WANG Tong-yao

作者单位: Institute of Electronic and Information Engineering Dalian Jiaotong University Dalian,China

会议类型: 国际会议

会议名称: 2011 6th Joint International Information Technology and Artificial Intelligence Conference(2011年第六届IEEE联合国际信息技术与人工智能会议 IEEE ITAIC 2011)

会议地点: 重庆

会议语种:英文

页码: 983-986

在线出版日期: 2011-08-20（万方平台首次上网日期，不代表论文的发表时间）