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@TECHREPORT{Marcel_Idiap-RR-09-2010,
         author = {Marcel, S{\'{e}}bastien and McCool, Chris and Matejka, Pavel and Ahonen, Timo and Cernocky, Jan},
       projects = {MOBIO},
          month = {5},
          title = {Mobile Biometry (MOBIO) Face and Speaker Verification Evaluation},
           type = {Idiap-RR},
         number = {Idiap-RR-09-2010},
           year = {2010},
    institution = {Idiap},
        address = {rue Marconi 19},
       abstract = {This paper evaluates the performance of face and speaker verification techniques in 
the context of a mobile environment. The mobile environment was chosen as it provides a realistic
and challenging test-bed for biometric person verification techniques to operate. For instance the
audio environment is quite noisy and there is limited control over the illumination conditions and
the pose of the subject for the video. To conduct this evaluation, a part of a database captured during
the ``Mobile Biometry'' (MOBIO) European Project was used. In total there were nine participants 
to the evaluation who submitted a face verification system and five participants who submitted 
speaker verification systems. 

The nine face verification systems all varied significantly in terms of both verification algorithms 
and face detection algorithms. Several systems used the OpenCV face detector while the better systems
used proprietary software for the task of face detection. This ended up making the evaluation of
verification algorithms challenging.

The five speaker verification systems were based on one of two paradigms: a Gaussian Mixture Model (GMM) 
or Support Vector Machine (SVM) paradigm. In general the systems based on the SVM paradigm performed
better than those based on the GMM paradigm.},
            pdf = {https://publications.idiap.ch/attachments/reports/2010/Marcel_Idiap-RR-09-2010.pdf}
}