Real-time Automatic Facial Expression Recognition in Video Sequence

نویسندگان

  • Nivedita Singh
  • Chandra Mani Sharma
  • Mohan Nagar
چکیده

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.

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تاریخ انتشار 2015