自动化与信息工程Issue(6)：21-24,4.
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
摘要
Abstract
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.关键词
可见异物检测/目标跟踪/最近邻数据关联/运动状态预测Key words
Impurity Detection/Target Tracking/NNDA/Motion Prediction引用本文复制引用
邱玮,谢云,周宇媚..基于最近邻数据关联法的安瓿溶液可见异物目标跟踪[J].自动化与信息工程,2013,(6):21-24,4.
