The REPERE Corpus : a multimodal corpus for person recognition
Aude Giraudel, Matthieu Carr{\'e}, Val{\'e}rie Mapelli, Juliette Kahn, Olivier Galibert, Ludovic Quintard
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The REPERE Challenge aims to support research on people recognition in multimodal conditions. To assess the technology progression, annual evaluation campaigns will be organized from 2012 to 2014. In this context, the REPERE corpus, a French videos corpus with multimodal annotation, has been developed. This paper presents datasets collected for the dry run test that took place at the beginning of 2012. Specific annotation tools and guidelines are mainly described. At the time being, 6 hours of data have been collected and annotated. Last section presents analyses of annotation distribution and interaction between modalities in the corpus.