메뉴 건너뛰기




Volumn 9, Issue 4, 2013, Pages 1409-1421

An Optical Flow Feature-Based Robust Facial Expression Recognition with HMM from Video

Author keywords

Generalized discriminant analysis (GDA); Hidden Markov models (HMMs); Optical flows; Principal component analysis (PCA)

Indexed keywords

CONVENTIONAL APPROACH; CONVENTIONAL METHODS; DISCRETE HIDDEN MARKOV MODEL; FACIAL EXPRESSION RECOGNITION; FACIAL EXPRESSIONS; FLOW EXTRACTION; GENERALIZED DISCRIMINANT ANALYSIS; HIDDEN MARKOV MODELS (HMMS);

EID: 84877833631     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (13)

References (29)
  • 6
    • 24944521141 scopus 로고    scopus 로고
    • Probabilistic feature analysis of facial perception of emotions
    • M. Meulders, P. D. Boeck, I. V. Mechelen and A. Gelman, Probabilistic feature analysis of facial perception of emotions, Applied Statistics, vol.54, no.4, pp.781-793, 2005.
    • (2005) Applied Statistics , vol.54 , Issue.4 , pp. 781-793
    • Meulders, M.1    Boeck, P.D.2    Mechelen, I.V.3    Gelman, A.4
  • 9
    • 0344703724 scopus 로고    scopus 로고
    • ICA and Gabor representation for facial expression recognition
    • I. Buciu, C. Kotropoulos and I. Pitas, ICA and Gabor representation for facial expression recognition, Proc. of the IEEE, pp.855-858, 2003.
    • (2003) Proc. of the IEEE , pp. 855-858
    • Buciu, I.1    Kotropoulos, C.2    Pitas, I.3
  • 10
    • 68149182284 scopus 로고    scopus 로고
    • Facial expression recognition by supervised independent component analysis using MAP estimation
    • F. Chen and K. Kotani, Facial expression recognition by supervised independent component analysis using MAP estimation, IEICE Transactions on Information and Systems, vol.E91-D, no.2, pp.341350, 2008.
    • (2008) IEICE Transactions On Information and Systems , vol.91 , Issue.2 , pp. 341350
    • Chen, F.1    Kotani, K.2
  • 14
    • 33744973353 scopus 로고    scopus 로고
    • Recognizing facial action units using independent component analysis and support vector machine
    • C.-F. Chuang and F. Y. Shin, Recognizing facial action units using independent component analysis and support vector machine, Pattern Recognition, vol.39, pp.1795-1798, 2006.
    • (2006) Pattern Recognition , vol.39 , pp. 1795-1798
    • Chuang, C.-F.1    Shin, F.Y.2
  • 17
    • 0030165906 scopus 로고    scopus 로고
    • Recognizing human facial expressions from long image sequences using optical flow
    • Y. Yacoob and L. S. Davis, Recognizing human facial expressions from long image sequences using optical flow, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.18, no.6, pp.632646, 1996.
    • (1996) IEEE Transactions On Pattern Analysis and Machine Intelligence , vol.18 , Issue.6 , pp. 632646
    • Yacoob, Y.1    Davis, L.S.2
  • 20
    • 33847056268 scopus 로고    scopus 로고
    • Gabor wavelets and general discriminant analysis for face identification and verification
    • L. Shen, L. Bai and M. Fairhurst, Gabor wavelets and general discriminant analysis for face identification and verification, Image and Vision Computing, vol.25, pp.553-563, 2007.
    • (2007) Image and Vision Computing , vol.25 , pp. 553-563
    • Shen, L.1    Bai, L.2    Fairhurst, M.3
  • 22
    • 33847747430 scopus 로고    scopus 로고
    • Facial expression recognition in image sequences using geometric deformation features and support vector machine
    • I. Kotsia and I. Pitas, Facial expression recognition in image sequences using geometric deformation features and support vector machine, IEEE Transactions on Image Processing, vol.16, pp.172-187, 2007.
    • (2007) IEEE Transactions On Image Processing , vol.16 , pp. 172-187
    • Kotsia, I.1    Pitas, I.2
  • 23
    • 0031378363 scopus 로고    scopus 로고
    • Recognizing multiple person's facial expressions using HMM based on automatic extraction of significant frames from image sequences
    • T. Otsuka and J. Ohya, Recognizing multiple person's facial expressions using HMM based on automatic extraction of significant frames from image sequences, Proc. of the International Conference on Image Processing, pp.546-549, 1997.
    • (1997) Proc. of the International Conference On Image Processing , pp. 546-549
    • Otsuka, T.1    Ohya, J.2
  • 24
    • 0036132398 scopus 로고    scopus 로고
    • Using moment invariants and HMM in facial expression recognition
    • Y. Zhu, L. C. De Silva and C. C. Ko, Using moment invariants and HMM in facial expression recognition, Pattern Recognition Letters, vol.23, no.1-3, pp.83-91, 2002.
    • (2002) Pattern Recognition Letters , vol.23 , Issue.1-3 , pp. 83-91
    • Zhu, Y.1    de Silva, L.C.2    Ko, C.C.3
  • 25
    • 33645014570 scopus 로고    scopus 로고
    • Automatic facial expression recognition using facial animation parameters and multistream HMMs
    • P. S. Aleksic and A. K. Katsaggelos, Automatic facial expression recognition using facial animation parameters and multistream HMMs, IEEE Transactions on Information and Security, vol.1, pp.3-11, 2006.
    • (2006) IEEE Transactions On Information and Security , vol.1 , pp. 3-11
    • Aleksic, P.S.1    Katsaggelos, A.K.2
  • 29
    • 0032924381 scopus 로고    scopus 로고
    • Automated face analysis by feature point tracking has high concurrent validity with manual FACS coding
    • J. F. Cohn, A. Zlochower, J. Lien and T. Kanade, Automated face analysis by feature point tracking has high concurrent validity with manual FACS coding, Psychophysiology, vol.36, pp.35-43, 1999.
    • (1999) Psychophysiology , vol.36 , pp. 35-43
    • Cohn, J.F.1    Zlochower, A.2    Lien, J.3    Kanade, T.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.