CAJ | 학술논문

本文提出一种固定背景下的运动目标自动分割技术.首先,提出了一种新的运动变化检测方案.然后利用递归高阶统计的方法从高斯噪声中提取运动变化.同传统的高阶统计方法相比,递归高阶统计由于利用前n帧的图像信息,所以能够更有效地抑制噪声,检测小目标,并且分割效果较好.
본문제출일충고정배경하적운동목표자동분할기술.수선,제출료일충신적운동변화검측방안.연후이용체귀고계통계적방법종고사조성중제취운동변화.동전통적고계통계방법상비,체귀고계통계유우이용전n정적도상신식,소이능구경유효지억제조성,검측소목표,병차분할효과교호.
A moving object detection method in video sequence was proposed, which is considered a fixed camera model. Firstly, a new method was presented for detection of changes of motion. After the change detection, the recursive higher-order mothod was used to extract the change from the Gaussian noise. Compared with the classical higher-order statistics method, the recursive higher-order statistics method uses the former n images information, so it can obtain better estimates of HOS to reduce the effect of additive noise and detect the small object and perform well on segmetation.