CAJ | 학술논문

由于理论上的局限性,逆向复合模板匹配算法难以在末制导阶段的高动态环境下实现对目标的稳定跟踪.针对这一问题,本文提出一种基于多分辨率运动先验的逆向复合跟踪算法.算法将跟踪问题分为离线训练和在线跟踪两个阶段.在离线计算阶段,将目标运动的幅值按“coarse-to-fine”的顺序划分为多个层次,并采用分层训练的方式获得多分辨率先验误差雅可比矩阵.将该先验知识应用于逆向复合跟踪算法,能够在不增加在线计算复杂度的前提下实现对地面固定目标的实时稳定跟踪.对比实验证实,在高动态环境下,算法具有良好的收敛特性,同时,对目标图像的旋转、尺度缩放和光照变化等干扰因素也具有良好的稳定性.
유우이론상적국한성,역향복합모판필배산법난이재말제도계단적고동태배경하실현대목표적은정근종.침대저일문제,본문제출일충기우다분변솔운동선험적역향복합근종산법.산법장근종문제분위리선훈련화재선근종량개계단.재리선계산계단,장목표운동적폭치안“coarse-to-fine”적순서화분위다개층차,병채용분층훈련적방식획득다분변솔선험오차아가비구진.장해선험지식응용우역향복합근종산법,능구재불증가재선계산복잡도적전제하실현대지면고정목표적실시은정근종.대비실험증실,재고동태배경하,산법구유량호적수렴특성,동시,대목표도상적선전、척도축방화광조변화등간우인소야구유량호적은정성.
During terminal guidance phase of electro-optical precision-guided weapons, basic inverse compositional template matching algorithm can not deal with robust target tracking in high-dynamic environment due to its theoretical limitations. An inverse compositional tracking algorithm using multi-resolution motion prior is proposed to deal with this problem. The novel method divides tracking problem into two phases of off-line training and on-line tracking. During training phase, multi-resolution priori error Jacobian matrices are obtained according to the principle of“coarse-to-fine”. Using this priori knowledge, the new tracker can achieve robust tracking without increasing on-line computation complexity. Comparative experiments confirm the good convergence properties of the algorithm under high-dynamic environment. Meanwhile, the algorithm also has a good stability against the disturbances of target image rotation, scale and illumination changes, etc.