Visual inference of human emotion and behaviour

  • Authors:
  • Shaogang Gong;Caifeng Shan;Tao Xiang

  • Affiliations:
  • Queen Mary College, London, London, England UK;Queen Mary College, London, London, England UK;Queen Mary College, London, London, England UK

  • Venue:
  • Proceedings of the 9th international conference on Multimodal interfaces
  • Year:
  • 2007

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Abstract

We address the problem of automatic interpretation ofnon-exaggerated human facial and body behaviours captured in video. We illustrate our approach by three examples. (1) We introduce Canonical Correlation Analysis (CCA) and Matrix Canonical Correlation Analysis (MCCA) for capturing and analyzing spatial correlations among non-adjacent facial parts for facial behaviour analysis. (2) We extend Canonical Correlation Analysis to multimodality correlation for bebaviour inference using both facial and body gestures. (3) We model temporal correlation among human movement patterns in a wider space using a mixture of Multi-Observation Hidden Markov Model for human behaviour profiling and behavioural anomaly detection.