Facial expression recognition - A real time approach

被引：36
|
作者：
Geetha, A. [1 ]
Ramalingam, V. [1 ]
Palanivel, S. [1 ]
Palaniappan, B. [1 ]
机构：
[1] Annamalai Univ, Fac Engn & Technol, Dept Comp Sci & Engn, Chidambaram, India
来源：
EXPERT SYSTEMS WITH APPLICATIONS | 2009年 / 36卷 / 01期
关键词：
Facial expression recognition; Face localization; Feature extraction; Support vector machine; FACE DETECTION; TRACKING; EYE;
D O I：
10.1016/j.eswa.2007.09.002
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Face localization, feature extraction, and modeling are the major issues in automatic facial expression recognition. In this paper, a method for facial expression recognition is proposed. A face is located by extracting the head contour points using the motion information. A rectangular bounding box is fitted for the face region using those extracted contour points. Among the facial features, eyes are the most prominent features used for determining the size of a face. Hence eyes are located and the visual features of a face are extracted based on the locations of eyes. The visual features are modeled using support vector machine (SVM) for facial expression recognition. The SVM finds an optimal hyperplane to distinguish different facial expressions with an accuracy of 98.5%. (C) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码：303 / 308
页数：6
相关论文
共 50 条
  • [41] A fuzzy logic approach to reliable real-time recognition of facial emotions
    Kiavash Bahreini
    Wim van der Vegt
    Wim Westera
    Multimedia Tools and Applications, 2019, 78 : 18943 - 18966
  • [42] Exploring the Facial Expression Perception-Production Link Using Real-Time Automated Facial Expression Recognition
    Deriso, David M.
    Susskind, Josh
    Tanaka, Jim
    Winkielman, Piotr
    Herrington, John
    Schultz, Robert
    Bartlett, Marian
    COMPUTER VISION - ECCV 2012, PT II, 2012, 7584 : 270 - 279
  • [43] A fuzzy logic approach to reliable real-time recognition of facial emotions
    Bahreini, Kiavash
    van der Vegt, Wim
    Westera, Wim
    MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 78 (14) : 18943 - 18966
  • [44] Framework for reliable, real-time facial expression recognition for low resolution images
    Khan, Rizwan Ahmed
    Meyer, Alexandre
    Konik, Hubert
    Bouakaz, Saida
    PATTERN RECOGNITION LETTERS, 2013, 34 (10) : 1159 - 1168
  • [45] Real-Time Facial Expression Recognition Using Deep Convolutional Neural Network
    Zeng, Yuwen
    Xiao, Nan
    Wang, Kaidi
    Yuan, Hang
    2019 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (ICMA), 2019, : 1536 - 1541
  • [46] A robotic facial expression recognition system using real-time vision system
    Department of Electrical and Control Engineering, National Chiao Tung University, 1001 Ta Hsueh Road, Hsinchu, 300, Taiwan
    不详
    Key Eng Mat, 2008, (375-378): : 375 - 378
  • [47] An embedded system for real-time facial expression recognition based on the extension theory
    Pai, Neng-Sheng
    Chang, Shih-Ping
    COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2011, 61 (08) : 2101 - 2106
  • [48] Real-time capable method for facial expression recognition in color and stereo vision
    Niese, Robert
    Al-Hamadi, Ayoub
    Panning, Axel
    Michaelis, Bernd
    COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2007, PT 1, PROCEEDINGS, 2007, 4705 : 397 - +
  • [49] Real-time Personalized Facial Expression Recognition System Based on Deep Learning
    Lee, Injae
    Jung, Heechul
    Ahn, Chung Hyun
    Seo, Jeongil
    Kim, Junmo
    Kwon, Ohseok
    2016 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE), 2016,
  • [50] Real time facial expression recognition using local binary patterns and linear programming
    Feng, XY
    Cui, J
    Pietikäinen, M
    Hadid, A
    MICAI 2005: ADVANCES IN ARTIFICIAL INTELLIGENCE, 2005, 3789 : 328 - 336
12345