基于最近邻数据关联法的安瓿溶液可见异物目标跟踪

Target Tracking for Visible Contaminant Particles in Ampoule Solutions Based on Nearest Neighbor Data Association Algorithm

运动目标跟踪是安瓿溶液可见异物检测的关键所在,数据关联在信息融合的基础上能很好对目标对象的相关性做出判断。结合运动状态预测的最近邻数据关联法,在目标先验知识不足、特征信息贫乏的条件下,能够有效地对潜在目标对象进行跟踪,从而做出杂质相关性判断。

Moving target tracking is the key of ampoules impurity detection. On the basis of information fusion, data association has good performance in judging the correlation of the target object .In the lack of future knowledge and feature information, NNDA combined with motion prediction can effectively track the potential target object in order to make impurity relevance judgment.