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Open AccessArticle

High-Speed Video System for Micro-Expression Detection and Recognition

1
Computer Science Department, Technical University of Cluj-Napoca, 28 Memorandumului Street, 400114 Cluj Napoca, Romania
2
Computer Science Department, Babes Bolyai University, 58-60 Teodor Mihali Street, C333, 400591 Cluj Napoca, Romania
*
Author to whom correspondence should be addressed.
Sensors 2017, 17(12), 2913; https://doi.org/10.3390/s17122913
Received: 25 October 2017 / Revised: 11 December 2017 / Accepted: 11 December 2017 / Published: 14 December 2017
(This article belongs to the Special Issue Video Analysis and Tracking Using State-of-the-Art Sensors)
Micro-expressions play an essential part in understanding non-verbal communication and deceit detection. They are involuntary, brief facial movements that are shown when a person is trying to conceal something. Automatic analysis of micro-expression is challenging due to their low amplitude and to their short duration (they occur as fast as 1/15 to 1/25 of a second). We propose a fully micro-expression analysis system consisting of a high-speed image acquisition setup and a software framework which can detect the frames when the micro-expressions occurred as well as determine the type of the emerged expression. The detection and classification methods use fast and simple motion descriptors based on absolute image differences. The recognition module it only involves the computation of several 2D Gaussian probabilities. The software framework was tested on two publicly available high speed micro-expression databases and the whole system was used to acquire new data. The experiments we performed show that our solution outperforms state of the art works which use more complex and computationally intensive descriptors. View Full-Text
Keywords: micro-expression spotting; micro-expression recognition; affective computing; facial expression recognition; difference images micro-expression spotting; micro-expression recognition; affective computing; facial expression recognition; difference images
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    Link: https://drive.google.com/open?id=0ByAKFSXshk1ASjlwWnhlZzdQT0k
    Description: Video example of the micro-expression detection framework. The ground truth labeling is depicted with a yellow circle in the top left of the video. The detected micro-expressions are depicted with a yellow square to the right of the ground truth labeling.
MDPI and ACS Style

Borza, D.; Danescu, R.; Itu, R.; Darabant, A. High-Speed Video System for Micro-Expression Detection and Recognition. Sensors 2017, 17, 2913.

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