PT Unknown
AU Sergio Escalera
   R. M. Martinez
   Jordi Vitria
   Petia Radeva
   Maria Teresa Anguera
TI Dominance Detection in Face-to-face Conversations
BT 2nd IEEE Workshop on CVPR for Human communicative Behavior analysis
PY 2009
BP 97–102
DI 10.1109/CVPRW.2009.5204267
AB Dominance is referred to the level of influence a person has in a conversation. Dominance is an important research area in social psychology, but the problem of its automatic estimation is a very recent topic in the contexts of social and wearable computing. In this paper, we focus on dominance detection from visual cues. We estimate the correlation among observers by categorizing the dominant people in a set of face-to-face conversations. Different dominance indicators from gestural communication are defined, manually annotated, and compared to the observers opinion. Moreover, the considered indicators are automatically extracted from video sequences and learnt by using binary classifiers. Results from the three analysis shows a high correlation and allows the categorization of dominant people in public discussion video sequences.
ER