2011
H. Salamin and A. Vinciarelli, "Introduction to Sequence Analysis for Human Behavior Understanding." Springer Verlag, 2011, pp. 21-40. full entry [ download ]
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Publications2011 F. Valente and A. Vinciarelli, "Language-Independent Socio-Emotional Role Recognition in the AMI Meetings Corpus," in Proceedings of Interspeech, 2011. full entry [ download ]
2011 F. Valente, A. Vinciarelli, S. H. Yella, and A. Sapru, "Understanding Social Signals in Multi-party Conversations: Automatic Recognition of Socio-Emotional Roles in the AMI Meeting Corpus," in Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 2011, pp. 374-379. full entry [ download ]
2012 H. Salamin and A. Vinciarelli, "Automatic Role Recognition in Multiparty Conversations: an Approach Based on Turn Organization, Prosody and Conditional Random Fields," IEEE Transactions on Multimedia, 2012. full entry [ download ]
2012 A. Vinciarelli, M. Pantic, D. Heylen, C. Pelachaud, I. Poggi, and F. DÉrrico, "Bridging the Gap Between Social Animal and Unsocial Machine: A Survey of Social Signal Processing," IEEE Transactions on Affective Computing, 2012. full entry [ download ]
2011 M. Cristani, G. Paggetti, A. Vinciarelli, L. Bazzani, G. Menegaz, and V. Murino, "Towards Computational Proxemics: Inferring Social Relations from Interpersonal Distances," in Proceedings of IEEE International Conference on Social Computing, 2011, pp. 290-297. full entry [ download ]
2011 M. Cristani, A. Pesarin, A. Vinciarelli, M. Crocco, and V. Murino, "Look at who’s talking," in Proceedings of Interhub, 2011. full entry [ download ]
2012 A. Pesarin, M. Cristani, V. Murino, and A. Vinciarelli, "Conversation Analysis at Work: Detection of Conflict in Competitive Discussions through Automatic Turn-Organization Analysis," Cognitive Processing, 2012. full entry [ download ]
iBUG's TAUD (Temporal-based Action Unit Detection) is the implementation of our LPQ-TOP-based AU detector. It is developed as a WIN32 executable. It includes trained models for the following AUs: ...
The iBUG Gesture Detector detects a number of hand gestures on frame-level. Detection is performed in both spatial and temporal domains. In the spatial domain the detector returns an estimate of t... |
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