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Authors: Diana Borza ; Razvan Itu and Radu Danescu

Affiliation: Technical University of Cluj-Napoca, Romania

Keyword(s): Micro Expression Recognition, Micro Expression Detection, Convolutional Neural Networks.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis

Abstract: In this paper, we propose a micro-expression detection and recognition framework based on convolutional neural networks. This paper presents the following contributions: the relevant features are learned by a convolutional neural network that uses as input difference images of three equally spaced frames from the video sequence, capturing important motion information. Next, a sliding time window is used to iterate through the video sequence and the output of the network in order to eliminate false positives. The method was trained using images from two publicly available micro-expression databases. The effectiveness of the proposed solution is demonstrated by the experiments we performed, from which a recognition rate of 72.22% was obtained.

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Paper citation in several formats:
Borza, D.; Itu, R. and Danescu, R. (2018). Micro Expression Detection and Recognition from High Speed Cameras using Convolutional Neural Networks. In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 5: VISAPP; ISBN 978-989-758-290-5; ISSN 2184-4321, SciTePress, pages 201-208. DOI: 10.5220/0006548802010208

@conference{visapp18,
author={Diana Borza. and Razvan Itu. and Radu Danescu.},
title={Micro Expression Detection and Recognition from High Speed Cameras using Convolutional Neural Networks},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 5: VISAPP},
year={2018},
pages={201-208},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006548802010208},
isbn={978-989-758-290-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 5: VISAPP
TI - Micro Expression Detection and Recognition from High Speed Cameras using Convolutional Neural Networks
SN - 978-989-758-290-5
IS - 2184-4321
AU - Borza, D.
AU - Itu, R.
AU - Danescu, R.
PY - 2018
SP - 201
EP - 208
DO - 10.5220/0006548802010208
PB - SciTePress

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