Global Motion Compensation for Image Sequences and Motion Object Detection

摘要：

A effective approach to global motion compensation and moving object extraction is proposed. Firstly, feature-block detection and search-matching algorithm are used to attain background motion vectors of global image. Then, once the global motion vectors are robustly estimated, relatively stationary background can be almost completely eliminated through the registration difference algorithm. Finally, higher-order statistics is used to attain the motion target exactly. The experimental results validate that the proposed algorithm improves the performance of detection moving targets and effectively restrains the noise disturbance.

关键词： background compensation (BC) feature-block matching higher-order statistics (HOS) object detection

作者: Zhang shun Su Xiuqin Xie Liyin Zhang shun Su Xiuqin Xie Liyin

作者单位: Key Laboratory of Ultrafast Photoelectric Diagnostics Technology Xian Institute of Optics & Precisi Xian Institute of Optics & Precision Mechanics, Chinese Academy of sciences Xian, Shaanxi, 710119,

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 406-409

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）