MICRO EXPRESSION DETECTION USING RANDOM WALK-ANN

    This project is design based on the paper "Spontaneous micro-expression spotting via geometric deformation modeling".This project is designed on Random-Walk ANN,used to calculate the probability of individual frames having micro-expressions.The Random-Walk ANN model is utilized to estimate the initial probability for each frame and the correlation between frames would be considered into the random walk model. The active shape model and Procrustes analysis, which are robust to the head movement and lighting variation, are used to describe the geometric shape of human face. Then the geometric deformation would be modeled and used for ANN training. Through performing the experiments on CASME micro-expression datasets are used  to verify the effectiveness of our proposed micro-expression spotting approach.

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SIMULATION VIDEO DEMO                                                                                                                                     

You can DOWNLOAD the reference paper.

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