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Towards Micro-expression Recognition Through Pyramid of Uniform Temporal Local Binary Pattern Features

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Intelligent Systems Design and Applications (ISDA 2018 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 940))

Abstract

Compared to macro-expressions, recognizing micro-expres-sions is more challenging due to low intensity and their brief duration. To deal with this issue, the present paper proposes a facial micro-expression recognition approach based on the pyramid of uniform Temporal Local Binary Pattern (PTLBP\(^{u2}\)) features for describing the appearance motion changes in time through video stream. Unlike the majority of approaches that use a high dimensional feature space, the proposed approach is based on a low dimensional space with only 83 features. Compared to the most recent facial micro-expression recognition approaches, our approach proves its effectiveness with an accuracy rate reaching 66.40% on Casme II dataset. A study of the ability of a macro-expression model to recognize micro-expression shows that it is more efficient to recognize certain micro-expressions than others.

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Author information

Authors and Affiliations

  1. Faculty of Economics and Management, MIR@CL, University of Sfax, Sfax, Tunisia

    Taoufik Ben Abdallah

  2. Saudi Electronic University, Riyadh, Kingdom of Saudi Arabia

    Radhouane Guermazi

  3. Faculty of Sciences, MIR@CL, University of Sfax, Sfax, Tunisia

    Mohamed Hammami

Authors
  1. Taoufik Ben Abdallah
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  2. Radhouane Guermazi
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  3. Mohamed Hammami
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Corresponding author

Correspondence to Taoufik Ben Abdallah .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs, Auburn, WA, USA

    Ajith Abraham

  2. School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India

    Aswani Kumar Cherukuri

  3. Tijuana Institute of Technology, Tijuana, Mexico

    Patricia Melin

  4. Machine Intelligence Research Labs, Auburn, WA, USA

    Niketa Gandhi

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Ben Abdallah, T., Guermazi, R., Hammami, M. (2020). Towards Micro-expression Recognition Through Pyramid of Uniform Temporal Local Binary Pattern Features. In: Abraham, A., Cherukuri, A.K., Melin, P., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2018 2018. Advances in Intelligent Systems and Computing, vol 940. Springer, Cham. https://doi.org/10.1007/978-3-030-16657-1_59

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