火力与指挥控制2013，Vol.38Issue(3)：22-26,5.
基于新模板匹配的运动目标跟踪算法
Novel Moving Target Tracking Algorithm Based on New Template Matching
摘要
Abstract
For the problem of moving target under occlusion and environmental variability in processing of moving target tracking, a novel template matching target tracking (NTMTT) algorithm based on affine transformation, state transition and the particle filter is presented. Normalized cross-correlation coefficient is used as membership to choose the optimal affine transformation parameter and the target location is determined according to the state transition. Meanwhile, the particle filter is adopted to learn the state motion of the target, and then the location of the target under occlusion is predicted. Experimental results show that the proposed template matching target tracking algorithm is efficient and effective in moving target tracking and get higher tracking performance in dealing with the illumination change, noise, the background change and occlusion compared with hyper -plane approximation tracking algorithm, mean shift tracking algorithm and covariance tracking algorithm.关键词
归一化互相关系数/仿射变换/状态转移/粒子滤波/运动目标跟踪/模板匹配Key words
normalized cross-correlation coefficient, affine transformation, state transition, particle filter, moving target tracking, template matching分类
信息技术与安全科学引用本文复制引用
穆欣侃,徐德江,罗海波,石振刚..基于新模板匹配的运动目标跟踪算法[J].火力与指挥控制,2013,38(3):22-26,5.基金项目
国家自然科学基金资助项目(60802031) （60802031）
