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This article focuses on the problems encountered when using face observation and emotion recognition for the purposes of identification and also classification of specific emotions. The identification of emotions are particularly difficult, especially within varying scenes. In this paper we review the main methods of the identification of certain emotions. The authors present the results of their research analysis in tracking changes of the emotions in the selected software packages.
Czasopismo
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Tom
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147--157
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Bibliogr. 19 poz., rys., tab.
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autor
autor
autor
- Zachodniopomorski Uniwersytet Technologiczny w Szczecinie, Wydział Informatyki
Bibliografia
- [1] Yang M.-H., Kriegman D.J., Ahuja N. Detecting Faces in Images: A Survey. IEEE Transactions On Pattern Analysis And Machine Intelligence, vol. 24, no. 1, pp. 34- 58, 2002.
- [2] Kukharev G., Kuźmiński A. Techniki Biometryczne Część 1 – Metody Rozpoznawania Twarzy. Politechnika Szczecińska Wydział Informatyki, 2003.
- [3] Norma ISO/IEC 14496-2, Generic coding of audio-visual objects, part 2: Visual (MPEG-4 Visual), grudzień 1998.
- [4] Sivic J., Zitnick C. L, and Szeliski R., Finding people in repeated shots of the same scene, University of Oxford, 2006.
- [5] Plutchik R. What is an emotion? The Journal of Psychology, 61, University of California 1965.
- [6] Pease A. Mowa ciała. Jak odczytywać myśli innych ludzi z ich gestów. Jedność, 2005.
- [7] Sistema analiza psikhofiziologicheskogo i emotsionalʹnogo sostoyaniya cheloveka, Sankt – Peterburg 2010, http://www.elsys.ru/downloads/VI7ManualRusLite7_3.pdf
- [8] Minkin V. Vibroizobrazhenie, Sankt – Peterburg, SPb.: Renome, 2007.
- [9] N. A. Bernshtein, Motion Physiology and Activity [in Russian], Nauka, Moscow 1990, pp. 373392.
- [10] V. A. Minkin and N. N. Nikolaenko, Application of Vibraimage Technology and System for Analysis of Motor Activity and Study of Functional State of the Human Body, Biomedical Engineering, Vol. 42, No. 4, 2008.
- [11] Kamenskaya E., Kukharev G., Recognition of Psychological Characteristics from Face, Metody Informatyki Stosowanej, nr 1/2008, s 59.
- [12] Chiang P.-Y., Liao W.-H., Li T.-Y., Automatic caricature generation by analyzing facial features, In: Asian Conference on Computer Vision, Korea, January 27-30 2004.
- [13] Chibelushi C. C., Bourel F., Facial Expression Recognition: A Brief Tutorial Overview, In: CVonline: On-Line Compedium of Computer Vision 2003.
- [14] Chibelushi C. C., Bourel F., Low A.A. , Robust Facial Expression Recognition Using a State-Based Model of Spatially-Localised Facial Dynamics, Proc. Fifth IEEE Int. Conf. Automatic Face and Gesture Recognition, pp. 106-111, 2002
- [15] Pantic M., Rothkrantz L.J.M., An Expert System for Multiple Emotional Classification of Facial Expressions, Proc. 11th IEEE Int. Conf. on Tools with Artificial Intelligence, pp. 113-120, 1999.
- [16] Essa I. A., Pentland A.P., Coding, Analysis, Interpretation, and Recognition of Facial Expressions, IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 19, No. 7, pp. 757-763, 1997.
- [17] Tian Y-L, Kanade T., Cohn J.F., Recognizing Action Units for Facial Expression Analysis, IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 23, No. 2, pp. 97-115, 2001.
- [18] Donato G., Bartlett M.S., Hager J.C., Ekman P. , Sejnowski T.J., Classifying Facial Actions, IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 21, No. 10, pp. 974-989, 1999.
- [19] Lien J.J., Kanade T., Cohn J.F. Li, C-C., Automated Facial Expression Recognition Based on FACS Action Units, Proc. Third IEEE Int. Conf. Automatic Face and Gesture Recognition, pp. 390-395, 1998.
Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-article-BPS3-0025-0099