湖南大学学报（自然科学版）2013，Vol.40Issue(6)：96-102,7.
基于分区灰度投影稳像的运动目标检测算法
Moving Targets Detection Based on Subzone Gray Projection Video Stabilization
摘要
Abstract
In video surveillance systems,noise and shake of the background caused by complex environment can greatly influence the detection of moving objects.In order to solve this problem,a Gaussian Mixture Model (GMM) based on subzone gray projection video stabilization algorithm was proposed.First,each frame was divided into several blocks,and the subzone gray projection algorithm was applied to the frame to exactly extract the motion vector of each subzone and analyze the correlation between them.Based on the above analysis,we could decide whether a frame was with dithering or not,and make motion compensation for dithering frame.Then,we used GMM algorithm to extract the moving objects.Finally,morphology was applied as post-processing to further improve the detection accuracy.The subjective and objective evaluations of many different videos were implemented to verify the validity of the proposed algorithm in our experiments.The experiment results have shown that the proposed algorithm can detect the moving targets accurately from the scenes with dithering and suppress the false alarm rate significantly.关键词
高斯混合模型/灰度投影/视频抖动/目标检测Key words
Gaussian mixture model/gray projection/video with dithering/target detection分类
信息技术与安全科学引用本文复制引用
肖进胜,单姗姗,易本顺,张亚琪..基于分区灰度投影稳像的运动目标检测算法[J].湖南大学学报（自然科学版）,2013,40(6):96-102,7.基金项目
国家自然科学基金资助项目(91120002) （91120002）
国家留学基金资助课题(留金欧[2012]6014号) （留金欧[2012]6014号）
