CAJ | 학술논문

由于在成像制导过程中需要实时处理大量的信息,为了在尽可能保留有效信息情况下降低计算量,采用了一种人眼视觉非均匀采样模型--对数极坐标模型,来压缩信息量以提高计算速度;另外,由于对数极坐标变换对目标形状具有旋转和缩放不变性,在跟踪非刚性变形目标时该模型能表现出很好的稳健性;考虑到在成像跟踪末段,质心、角点之类的跟踪方法会产生匹配点漂移,为了抑制匹配点漂移,采用基于目标强度特征的Mean Shift跟踪方法,并对采用Gauss核函数的Mean Shift方法进行了优化来加快计算速度;实验结果表明,该方法能够有效抑制匹配点漂移,是一个稳健的目标跟踪方法.
유우재성상제도과정중수요실시처리대량적신식,위료재진가능보류유효신식정황하강저계산량,채용료일충인안시각비균균채양모형--대수겁좌표모형,래압축신식량이제고계산속도;령외,유우대수겁좌표변환대목표형상구유선전화축방불변성,재근종비강성변형목표시해모형능표현출흔호적은건성;고필도재성상근종말단,질심、각점지류적근종방법회산생필배점표이,위료억제필배점표이,채용기우목표강도특정적Mean Shift근종방법,병대채용Gauss핵함수적Mean Shift방법진행료우화래가쾌계산속도;실험결과표명,해방법능구유효억제필배점표이,시일개은건적목표근종방법.
Because large quantity information needs to be dealt during imaging processing, the proposed method use human vision non-uniform sample model, called log-polar coordinate model, to compress quantity and increase calculating speed. Invariant feature of image rotation, scaling and gray scale can be gotten by log-polar coordinates transform, so it is a robust approach for tracking Non-rigid deformation of target. Tracking methods using centroid or corner feature maybe bring matching point drift; and in order to supress matching point drift Mean Shift tracking method based on target intensity character was adopt. Mean Shift method used Gauss kernel function was optimized to accelerate calculating speed. The results show that the effectiveness and stability of the proposed approach for supressing matching point drift.