CAJ | 학술논문

在对 Mean Shift跟踪算法原理分析的基础上提出了一种反映区域像素空间关系的特征值与原算法基核结合的跟踪方式。该方式采用适应性公式与相似性量度结合的二级判决策略，提取区域内特征值并按不同权重归一化特征值。若不满足特征观测值的条件，则采取粗-精搜索结合的方式对目标模型进行更新。实验结果表明目标跟踪过程中提取的特征值波动符合目标区域实际情况，并在波动异常时重新定位目标，从而提高了跟踪的稳定性。
재대 Mean Shift근종산법원리분석적기출상제출료일충반영구역상소공간관계적특정치여원산법기핵결합적근종방식。해방식채용괄응성공식여상사성량도결합적이급판결책략，제취구역내특정치병안불동권중귀일화특정치。약불만족특정관측치적조건，칙채취조-정수색결합적방식대목표모형진행경신。실험결과표명목표근종과정중제취적특정치파동부합목표구역실제정황，병재파동이상시중신정위목표，종이제고료근종적은정성。
A tracking mode is presented which reflects regional pixel spatial relationship combining with the core of the orig-inal algorithm based on the analysis of the principle of algorithm.Meanwhile the adaptability and the similarity measure formula with two level decision strategy are adopted,and it extracted region characteristic to normalize values by the different right.If it does not meet the characteristics of observed value condition,the coarse-fine search to update the target model should be adopted. Experimental results show that the fluctuations characteristic observations meet the actual situation of the target area in the target tracking process,and the target in the case of abnormal fluctuations can be repositioned,thereby the tracking stability can be im-proved.