Micro-expression detection using integral projections

Abstract : Automatic detection of micro-expression from a video is the first step in the micro-expression analysis. In this paper, we present a method addressing the micro-expression detection problem based on the differences in the Integral Projection (IP) of sequential frames. The method can detect the temporal location of the micro-expression. It involves an observation of the Chi-squared distance of the IP to measure the difference between frames. The main advantage of using IP for micro-expression detection is its low computation cost, which brings an important merit in real-time application. To evaluate our method, experiments are completed on two micro-expression databases namely CASME and CASME II. Results on these two datasets show that the proposed method obtains positive promising results with much less computation time against state-of-the-art methods. © 2017, Vaclav Skala Union Agency. All rights reserved.
Type de document :
Article dans une revue
Journal of WSCG, 2017, 25 (2), pp.87-96
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https://hal-univ-rennes1.archives-ouvertes.fr/hal-01622626
Contributeur : Laurent Jonchère <>
Soumis le : mardi 24 octobre 2017 - 15:13:19
Dernière modification le : vendredi 20 avril 2018 - 01:30:21

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  • HAL Id : hal-01622626, version 1

Citation

H. Lu, K. Kpalma, J. Ronsin. Micro-expression detection using integral projections. Journal of WSCG, 2017, 25 (2), pp.87-96. 〈hal-01622626〉

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