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 dangerous situation. The proposed method firstly extracts the facial region using Harr-like technique from input, detects eye region and lip region from the extracted face. And then, the method applies Uniform LBP to each region, detects facial expression, and recognizes dangerous situation. The proposed method is evaluated for MUCT database image and web cam input. The proposed method produces good results of facial expression and discriminates dangerous situation well and the average recognition rate is 91.05%.
목차
Abstract 1. Introduction 2. Proposed detection of lip and eye region and facial expression recognition 3. Experiment and analysis 4. Conclusion References
키워드
Facial expressionUniform LBPdangerous Situation
저자
NaeJoung Kwak [ Departmen of Communication & Information, Chungbuk National University, Chungdae-ro 1, Seowon-Gu, Cheongju, Chungbuk Korea ]
SungPil Ryu [ Departmen of Communication & Information, Chungbuk National University, Chungdae-ro 1, Seowon-Gu, Cheongju, Chungbuk Korea ]
IlYoung Hwang [ Institute of Information Technology, Kwangwoon University,Gwangun-ro,Nowon-Gu, Seoul, Korea ]