摘要
建立两级融合系统,联接一级、二级融合系统中的识别功能。提出基于模糊集理论的特征层目标识别技术,基于D-S理论、B ayes理论的时空域决策层目标识别技术、基于贝叶斯网络推理的行为识别技术。解决应用中普遍存在的目标特征界限模糊、身份冲突、身份不稳定、缺少行为识别信息等问题,实现对目标身份和行为的综合识别,以达到对目标的全面感知。
The Two-level fusion system is setted up,which links the recognition function in level 1 and level 2 fusion system.The character recognition technology based on fuzzy theory,the decision recognition technology in Spatial-Temporal based on D-S and Bayes,the action recognition technology based on Bayesian networks are used to solve problem which is popular in work such as fuzzy character,conflict ID,unstable ID,missing action recognition etc.Tartet integrated recognition about ID and action is resolved,all-around apperceiving target is achieved.
出处
《火力与指挥控制》
CSCD
北大核心
2011年第9期153-156,共4页
Fire Control & Command Control
关键词
身份识别
行为识别
特征层
决策层
模糊集理论
D-S证据理论
identity recognition
action recognition
character level
decision level
fuzzy theory
D-S theory
