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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.12 No.4
- 발행연도
- 2017.7
- 수록면
- 1,657 - 1,662 (6page)
이용수
초록· 키워드
오류제보하기
Facial expression recognition systems using video devices have emerged as an important component of natural human-machine interfaces which contribute to various practical applications such as security systems, behavioral science and clinical practices. In this work, we present a new method to analyze, represent and recognize human facial expressions using a sequence of facial images. Under our proposed facial expression recognition framework, the overall procedure includes: accurate face detection to remove background and noise effects from the raw image sequences and align each image using vertex mask generation. Furthermore, these features are reduced by principal component analysis. Finally, these augmented features are trained and tested using Hidden Markov Model (HMM). The experimental evaluation demonstrated the proposed approach over two public datasets such as Cohn-Kanade and AT&T datasets of facial expression videos that achieved expression recognition results as 96.75% and 96.92%. Besides, the recognition results show the superiority of the proposed approach over the state of the art methods.
목차
Abstract
1. Introduction
2. System Methodology
3. Experimental Results and Analysis
4. Conclusion
References
참고문헌 (26)
참고문헌 신청
M. Wimmer, B. MacDonald, D. Jayamuni and A. Yadav, “Facial expression recognition for humanrobot interaction: a prototype,” in Proceedings of RobVis Conference, Auckland, pp.139-152, Feb. 2008.
A. Jalal and S. Kim, “Global security using human face understanding under vision ubiquitous architectture system,” World academy of science, engineering and technology, vol. 13, pp.7-11, 2006.
A. Jalal and I. Uddin, “Security architecture for third generation (3G) using GMHS cellular network,” in Proceedings of ICET, PK, pp.74-79, Nov. 2007.
S. Kamal and A. Jalal, “A hybrid feature extraction approach for human detection, tracking and activity recognition using depth sensors,” Arabian Journal for science and engineering, 2015.
A. Jalal and Y. Rasheed, “Collaboration achievement along with performance maintenance in video streaming,” in Proceedings of ICL, Austria, pp. 1-8, Sep. 2007.
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UCI(KEPA) : I410-ECN-0101-2018-560-000908872