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Facial emotion recognition in continuous video

Cruz, A ; Bhanu, B ; Thakoor, N

Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), November 2012, pp.1880-1883

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  • Título:
    Facial emotion recognition in continuous video
  • Autor: Cruz, A ; Bhanu, B ; Thakoor, N
  • Assuntos: Hidden Markov Models ; Histograms ; Feature Extraction ; Emotion Recognition ; High Definition Video ; Support Vector Machines ; Face Recognition ; Engineering ; Computer Science
  • É parte de: Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), November 2012, pp.1880-1883
  • Descrição: Facial emotion recognition-the detection of emotion states from video of facial expressions-has applications in video games, medicine, and affective computing. While there have been many advances, an approach has yet to be revealed that performs well on the non-trivial Audio/Visual Emotion Challenge 2011 data set. A majority of approaches still employ single frame classification, or temporally aggregate features. We assert that in unconstrained emotion video, a better classification strategy should model the change in features, versus simply combining them. We compute a derivative of features with histogram differencing and derivative of Gaussians and model the changes with a hidden Markov model. We are the first to incorporate temporal information in terms of derivatives. The efficacy of the approach is tested on the non-trivial AVEC2011 data set and increases classification rates on the data by as much as 13%.
  • Idioma: Inglês

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