Mobile target detection of intelligent surveillance system based on modified GVF

摘要：

The current methods of mobile target detection of video sequences have shortcomings such as poor disturbanceresistance and robustness. To solve this problem, an modified GVF Snake algorithm was presented, new gradient vector field was founded which took full advantage of image gradient information, between-frame motion information and grey-level information of neighbor pixels. Simulation result indicates that this modified method can detect mobile target of video sequences efficiently, and improve the disturbance-resistance ability and robustness.

关键词： mobile target detection Gradient vector flow Snake algorithm video sequences intelligent surveillance system

作者: ZHOU Jian-zhong WANG Shu-zong

作者单位: Department of Weapon Engineering Naval University of Engineering Wuhan P.R.China

会议类型: 国际会议

会议名称: 第四届国际计算机新科技与教育学术会议(2009 4th International Conference on Computer Science & Education)

会议地点: 南京

会议语种:英文

页码: 986-989

在线出版日期: 2009-07-25（万方平台首次上网日期，不代表论文的发表时间）