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http://dx.doi.org/10.6109/jkiice.2015.19.3.523

Risk Situation Recognition Using Facial Expression Recognition of Fear and Surprise Expression  

Kwak, Nae-Jong (Department of Communication & Information, Chungbuk National University)
Song, Teuk Seob (Division of Convergence Computer and Media, Mokwon University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.19, no.3, 2015 , pp. 523-528 More about this Journal
Abstract
This paper proposes an algorithm for risk situation recognition using facial expression. The proposed method recognitions the surprise and fear expression among human's various emotional expression for recognizing risk situation. The proposed method firstly extracts the facial region from input, detects eye region and lip region from the extracted face. And then, the method applies Uniform LBP to each region, discriminates facial expression, and recognizes risk situation. The proposed method is evaluated for Cohn-Kanade database image to recognize facial expression. The DB has 6 kinds of facial expressions of human being that are basic facial expressions such as smile, sadness, surprise, anger, disgust, and fear expression. The proposed method produces good results of facial expression and discriminates risk situation well.
Keywords
Facial expression recognition; Risk situation; Uniform LBP; Eye; Mouth;
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