A infrared small moving object extraction method in the context of complex background motion
The detection of small moving target in the context of complex background is a difficult issue.A method combining interframe differential registration and adaptive wiener filtering aimed to suppress background to detect moving object in complex background is proposed.The fixed background in the fore-and-aft frames can be filtered out by the interframe registration which preserves the moving target,parts of background and noise due to interframe movement and the gray-scale fluctuation.On one hand the complex background is estimated by an adaptive wiener filter,and the background suppression leaves the high-frequency regions containing the moving target in image.On the other hand,most of the high-frequency regions corresponding to non-target area are eliminated by the inter-frame registration in the differential images.The motion of target is continual in image sequences,while the position of the leaked background is relatively fixed and the noise is of small size.The fusion of the background suppression and inter-frame registration makes the discrimination of targets,background and noise possible.The small moving target is detected by trajectory association based on its interframe trajectory continuity.Experiment results verify the feasibility of the method.
moving target detection interframe differential registration adaptive wiener filtering background suppression target detection fusion
Luping Zhang Biao Li Luping Wang
ATR Key Lab of National University of Defense Technology Changsha,China
国际会议
郑州
英文
1603-1607
2013-10-19（万方平台首次上网日期，不代表论文的发表时间）