Title of article :
Autonomous Apex Detection and Micro-Expression Recognition using Proposed Diagonal Planes
Author/Authors :
Esmaeili, Vida Faculty of Electrical and Computer Engineering - University of Tabriz, Tabriz, Iran , Mohassel Feghhi, Mahmood Faculty of Electrical and Computer Engineering - University of Tabriz, Tabriz, Iran , Shahdi, Omid Faculty of Electrical, Biomedical and Mechatronics Engineering - Qazvin Branch, Islamic Azad University, Qazvin, Ira
Abstract :
Micro-expression as the main way of non-verbal communication occurs quickly and subtle in highrisk situations. Since it cannot be misleading, it discloses the real human aim. Nonetheless, feature extraction is an arduous task due to its two particular features. To resolve this problem in this paper, we propose Local Binary Pattern on Four Diagonal Planes. In fact, we utilize it after motion magnification for feature extraction in apex detection task. Also, we combine it and optical flow for micro-expression recognition. Simulation results show that automatic micro-expression apex frame detection and micro-expression recognition is promising using our method on CASME2 and CASME in comparison with other methods.
Keywords :
Apex frame detection , local binary pattern on four diagonal planes , micro-expression recognition , motion magnification , optical flow
Journal title :
International Journal of Nonlinear Analysis and Applications