信息与控制2012，Vol.41Issue(2)：153-158,6.DOI:10.3724/SE.J.1219.2012.00153
基于自适应帧差和水平集的运动目标检测和分割
Moving Object Detection and Segmentation Based on Adaptive Frame Difference and Level Set
摘要
Abstract
The adaptive frame difference method is used to detect moving objects in video sequences, in which two- or three-frame difference method is chosen to adjust the frame difference area automatically according to the changing trend of the frame difference area in order to prevent the loss of detected objects. Then the centroid position of moving objects is inferred according to centroid movement of frame difference region after post-processing using mathematical morphology on the frame difference image. A fitting ellipse which has same second-order central moments with the frame difference region is generated as the initial contour for the geodesic active contour (GAC) model. The level set function restricted by a nonlinear heat equation with normalized diffusion rate eliminates the time-consuming re-initialization procedure completely and reduces the number of iterations and the runnning time. Experimental results verify the effectiveness of the proposed algorithm.关键词
帧差法/运动目标跟踪/图像分割/测地活动轮廓(GAC)模型/变分水平集Key words
frame difference method/ moving object detection/ image segmentation/ geodesic active contour (GAC) model/ variational level set分类
信息技术与安全科学引用本文复制引用
赵骥,冯闯,邵富群,张学东..基于自适应帧差和水平集的运动目标检测和分割[J].信息与控制,2012,41(2):153-158,6.基金项目
国家自然科学基金资助项目(60775036) （60775036）
辽宁省教育厅资助项目(L2010194) （L2010194）
