A Study on Group Consensus Approach of Data Fusion Based on Measure of Uncertainty
基于不确定性度量信息融合的团队一致法研究

This paper presented a nwe method of information fusion: the group consensus approach based on measure of uncertainty. The approach is based on a recursive group uncertainty measure functions, which is capable of bringing the group members to a consensus. This approach can fuse uncertainty information about object identity obtained by multiple image sensors. Comparing with other existing methods, this approach is simple and more effective and has a great application potential in many multi-image object identification problems.