重庆理工大学学报：自然科学Issue(11)：56-62,7.
基于高斯混合模型机载下视运动目标检测方法
Moving Target Detection Method for Airborne Platform Based on Gaussian Mixture Model
摘要
Abstract
Based on the characteristics of the objects detection in airborne optoelectronic systems,an algorithm for detecting moving object in downward-looking systems,which combines the platform motion compensation and Gaussian mixture models（GMM）,is proposed in this paper.Firstly,this algorithm compensates the motion for the airborne platform by image registration,then constructs adaptive Gaussian mixture models,and extracts the moving objects using background-subtracting method.At last,the interfering objects are eliminated by multilevel hypothesis testing.Experimental results demonstrate that the proposed algorithm is fast and effective for the objects detection under the airborne platform.关键词
机载平台/运动目标检测/平台运动补偿/高斯混合模型Key words
airborne platform/moving objects detection/ego motion compensation/Gaussian mixture model分类
信息技术与安全科学引用本文复制引用
徐保勇,王媛丽,王平,高颖慧,范庆明..基于高斯混合模型机载下视运动目标检测方法[J].重庆理工大学学报：自然科学,2011,(11):56-62,7.基金项目
国家自然科学基金资助项目 （）
国家重点实验室基金资助项目 （）
武器装备预研基金资助项目 （）
