A camouflage target detection method based on local minimum difference constraints

作     者：GAN Yuanying LIU Chuntong LI Hongcai LIU Zhongye GAN Yuanying;LIU Chuntong;LI Hongcai;LIU Zhongye

作者机构：School of Missile EngineeringRocket Force University of EngineeringXi’an 710025China 

出 版 物：《Journal of Systems Engineering and Electronics》 (系统工程与电子技术（英文版）)

年 卷 期：2023年第34卷第3期

页      面：696-705页

核心收录：

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 

主　　题：camouflage target detection moving target local contrast 

摘      要：To address the problems of missing inside and incomplete edge contours in camouflaged target detection results,we propose a camouflaged moving target detection algorithm based on local minimum difference constraints(LMDC).The algorithm first uses the mean to optimize the initial background model,removes the stable background region by global comparison,and extracts the edge point set in the potential target region so that each boundary point(seed)grows along the center of the ***,we define the minor difference constraints term,combine the seed path and the target space consistency,and calculate the attributes of each pixel in the potential target area to realize camouflaged moving target *** algorithm of this paper is verified based on a public data sofa video and test videos and compared with the five classic *** experimental results show that the proposed algorithm yields good results based on integrity,accuracy,and a number of objective evaluation indexes,and its overall performance is better than that of the compared algorithms.