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  • 标题:Real-time Automatic Facial Expression Recognition inVideo Sequence
  • 本地全文:下载
  • 作者:Nivedita Singh ; Chandra Mani Sharma
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2015
  • 卷号:12
  • 期号:1
  • 出版社:IJCSI Press
  • 摘要:It is an established fact that words have just 7% contribution in human communication and 93% part is contributed by nonverbal communication exhibited by body language. Facial expressions constitute a vital part when we talk about human body language. The representation and recognition of facial expressions by computers has been an area of vital interest since long. The recent time has witnessed increasing interest in this field because of its potential applications such as in marketing, human computer interaction, security, psychiatry analysis and visual surveillance. Though, various techniques for facial expression recognition have been proposed in available literature, yet they are inadequate for real-time video applications. This is due to the dynamic nature of video data and various other factors associated with it. This paper presents a simple overview of the facial expression recognition and describes a technique for facial expression recognition in video. The comparative analysis of various methods has also been presented in this paper.
  • 关键词:Facial Expression Recognition; PatternRecognition; Machine Vision; Algorithm; Support VectorMachine; Local Binary Pattern
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