%Aigaion2 BibTeX export from Idiap Publications
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@ARTICLE{duc-prl97,
         author = {Duc, Beno{\^{\i}}t and Big{\"{u}}n, Elizabeth Saers and Big{\"{u}}n, Josef and Ma{\^{\i}}tre, Gilbert and Fischer, Stefan},
       projects = {Idiap},
          title = {Fusion of audio and video information for multi modal person authentication},
        journal = {Pattern Recognition Letters},
         volume = {18},
         number = {9},
           year = {1997},
       abstract = {We present an algorithm functioning as a supervisor module in a multi-expert decision making machine. It uses the Bayes theory in order to estimate the biases of individual expert opinions. The biases are used to calibrate and conciliate expert opinions to a single decision. This supervision technique is applied to the real case of a person authentication technique using two modalities, face and speech. The visual part involves the matching of a coarse grid containing Gabor phase information from face images. The acoustic part is performed by a text-dependent speaker verification system based on Hidden Markov Models. Experimental results show that the proposed fusion method improves the quality of individual expert decisions by reaching success rates of 99.5 \\%},
ipdmembership={vision},
}