Micro Expression Detection and Recognition from High Speed Cameras using Convolutional Neural Networks
Diana Borza, Razvan Itu, Radu Danescu
2018
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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in Harvard Style
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, SciTePress, pages 201-208. DOI: 10.5220/0006548802010208
in Bibtex Style
@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},
}
in EndNote Style
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
AU - Borza D.
AU - Itu R.
AU - Danescu R.
PY - 2018
SP - 201
EP - 208
DO - 10.5220/0006548802010208
PB - SciTePress