Abstract：To fuse the high conflict evidences,a method that adaptive evidence combination based on cosine similarity and K-L distance is proposed in this paper.Firstly,define a novel evidence conflict representation jointed classical conflict factor through cosine distance.Besides,based on this definition,use K-L distance to obtain the weight of evidence,and propose the sequential combination of rules.Then,considering the Dempster′s combination rules can effectively fuse the low conflict evidence with each other.In order to make most use of the advantages of Dempster′s combination rules and proposed algorithm,a novel fusion strategy is proposed which can adaptively switch the combination rule.Lastly,the experiment which is based on AMI corpus is made to test and verify the proposed algorithm efficiency.It is showed that the algorithm has better accuracy and stability,and can meet the requirement of video tracking.
曹洁,李晓瑶. 一种新的证据融合方法及在目标跟踪中的应用[J]. 小型微型计算机系统, 2015, 36(4): 891-896.
CAO Jie,LI Xiao-yao. A New Fusion Method of Evidence and its Application in Target Tracking. Journal of Chinese Computer Systems, 2015, 36(4): 891-896.