Machine Learning
Machine Learning
Regularized multi--task learning
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Histograms of Oriented Gradients for Human Detection
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
ICMI '08 Proceedings of the 10th international conference on Multimodal interfaces
Investigating automatic dominance estimation in groups from visual attention and speaking activity
ICMI '08 Proceedings of the 10th international conference on Multimodal interfaces
Modeling dominance in group conversations using nonverbal activity cues
IEEE Transactions on Audio, Speech, and Language Processing - Special issue on multimodal processing in speech-based interactions
Recognizing visual focus of attention from head pose in natural meetings
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing
Putting the pieces together: multimodal analysis of social attention in meetings
Proceedings of the international conference on Multimedia
Space speaks: towards socially and personality aware visual surveillance
Proceedings of the 1st ACM international workshop on Multimodal pervasive video analysis
Automatic modeling of personality states in small group interactions
MM '11 Proceedings of the 19th ACM international conference on Multimedia
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Modeling focus of attention for meeting indexing based on multiple cues
IEEE Transactions on Neural Networks
SOCIALCOM-PASSAT '12 Proceedings of the 2012 ASE/IEEE International Conference on Social Computing and 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust
Connecting Meeting Behavior with Extraversion—A Systematic Study
IEEE Transactions on Affective Computing
An adaptation framework for head-pose classification in dynamic multi-view scenarios
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
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Correlates between social attention and personality traits have been widely acknowledged in social psychology studies. Head pose has commonly been employed as a proxy for determining the social attention direction in small group interactions. However, the impact of head pose estimation errors on personality estimates has not been studied to our knowledge. In this work, we consider the unstructured and dynamic cocktail party scenario where the scene is captured by multiple, large field-of-view cameras. Head pose estimation is a challenging task under these conditions owing to the uninhibited motion of persons (due to which facial appearance varies owing to perspective and scale changes), and the low resolution of captured faces. Based on proxemic and social attention features computed from position and head pose annotations, we first demonstrate that social attention features are excellent predictors of the Extraversion and Neuroticism personality traits. We then repeat classification experiments with behavioral features computed from automated estimates-- obtained experimental results show that while prediction performance for both traits is affected by head pose estimation errors, the impact is more adverse for Extraversion.