Browse > Article
http://dx.doi.org/10.5391/JKIIS.2003.13.6.710

Emotion Recognition Using Template Vector and Neural-Network  

Joo, Young-Hoon (군산대학교 전자정보공학부)
Oh, Jae-Heung (군산대학교 전자정보공학부)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.13, no.6, 2003 , pp. 710-715 More about this Journal
Abstract
In this paper, we propose the new emotion recognition method for intelligently recognizing the human's emotion using the template vector and neural network. In the proposed method, human's emotion is divided into four emotion (surprise, anger, happiness, sadness). The proposed method is based on the template vector extraction and the template location recognition by using the color difference. It is not easy to extract the skin color area correctly using the single color space. To solve this problem, we propose the extraction method using the various color spaces and using the each template vectors. And then we apply the back-propagation algorithm by using the template vectors among the feature points). Finally, we show the practical application possibility of the proposed method.
Keywords
칼라 영상;형판 벡터;감성 인식;칼라 공간 변환;역전파 알고리즘;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 이상윤,주영훈,심귀보, "CCD 컬러 영상에 의한 감성인식", 퍼지 및 시스템 학회 논문지, Vol. 12, No. 2, pp. 97 102, 2002.   과학기술학회마을
2 I. A. Essa, and A. Pentland, "Facial expression recognition using visually extracted facial action parameters", Proceedings of IEEE international workshop on automatic face and gesture recognition, pp. 35-40, 1995.
3 A. Samal, and P. A. Iyengar, "Automatic recognition and analysis of human faces and facial expressions A survey", Pattern recognition, Vol. 25, No. 1, pp. 65-77, 1992.   DOI   ScienceOn
4 A. L. Yuille, "Deformable template for face recognition", Journal of cognitive neurosciences, Vol. 3, No. 1, pp. 59-79, 1991.   DOI   ScienceOn
5 최정일,김수환,이필규, "얼굴 이미지에서 입 영역 분할", 한국인지과학회 논문지, Vol. 8, No. 4, pp. 55 62, 1998.   과학기술학회마을
6 T. S. Huang, S. C. Rddy, and K. Aizawa, "Human facial motion modeling", Proceeding of SPIE, Vol.1605, pp. 234-241, 1991.   DOI
7 Y. Tian, T. Kanade, and J. Cohn, "Recognizing action units for facial expression analysis", IEEE transactions on pattern analysis and machine intelligence, Vol. 23, No. 2, pp. 97-115. 2001.   DOI   ScienceOn
8 K. Mase, "Recognition of facial expression from optical flow", Information and communication engineers transactions, Vol. 74, pp. 3474- 3483, 1991.
9 C. Garcia and G. Tziritas, "Face detection using quantized skin color regions merging and wavelet packet analysis", IEEE transactions on multimedia, Vol. 1, No. 3, pp. 264-277. 1999.   DOI   ScienceOn