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MEGC 2019 - The second facial micro-expressions grand challenge
See, John1; Yap, Moi Hoon2; Li, Jingting3; Hong, Xiaopeng4; Wang, Su-Jing5
2019
Conference Name14th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2019
Source PublicationProceedings - 14th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2019
Conference DateMay 14, 2019 - May 18, 2019
Conference PlaceLille, France
PublisherInstitute of Electrical and Electronics Engineers Inc.
Contribution Rank5
Abstract

Automatic facial micro-expression (ME) analysis is a growing field of research that has gained much attention in the last five years. With many recent works testing on limited data, there is a need to spur better approaches that are both robust and effective. This paper summarises the 2nd Facial Micro-Expression Grand Challenge (MEGC 2019) held in conjunction with the 14th IEEE Conference on Automatic Face and Gesture Recognition (FG) 2019. In this workshop, we proposed challenges for two micro-expression (ME) tasks-spotting and recognition, with the aim of encouraging rigorous evaluation and development of new robust techniques that can accommodate data captured across a variety of settings. In this paper, we outline the evaluation protocols for the two challenge tasks, the datasets involved, and an analysis of the best performing works from the participating teams, together with a summary of results. Finally, we highlight some possible future directions. © 2019 IEEE.

KeywordEvaluation protocol - Face and gesture recognition - Micro-expressions - Participating teams - Performing work - Possible futures - Rigorous evaluation - Robust technique
Subject AreaGesture Recognition
DOI10.1109/FG.2019.8756611
ISBN9781728100890
Indexed ByEI
Language英语
EI Accession Number20193307306865
Citation statistics
Document Type会议论文
Identifierhttp://ir.psych.ac.cn/handle/311026/30041
Collection中国科学院行为科学重点实验室
Affiliation1.Faculty of Computing and Informatics, Multimedia University, Malaysia;
2.Faculty of Science and Engineering, Manchester Metropolitan University, United Kingdom;
3.CentraleSuplec, CNRS, IETR, UMR 6164, Rennes; F-35000, France;
4.Center for Machine Vision and Signal Analysis, University of Oulu, Finland;
5.Key Laboratory of Behavior Sciences, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
Recommended Citation
GB/T 7714
See, John,Yap, Moi Hoon,Li, Jingting,et al. MEGC 2019 - The second facial micro-expressions grand challenge[C]:Institute of Electrical and Electronics Engineers Inc.,2019.
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