Institutional Repository of Key Laboratory of Behavioral Science, CAS
MEGC 2019 - The second facial micro-expressions grand challenge | |
See, John1; Yap, Moi Hoon2; Li, Jingting3; Hong, Xiaopeng4; Wang, Su-Jing5 | |
2019 | |
会议名称 | 14th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2019 |
会议录名称 | Proceedings - 14th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2019 |
会议日期 | May 14, 2019 - May 18, 2019 |
会议地点 | Lille, France |
出版者 | Institute of Electrical and Electronics Engineers Inc. |
产权排序 | 5 |
摘要 | 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. |
关键词 | Evaluation protocol - Face and gesture recognition - Micro-expressions - Participating teams - Performing work - Possible futures - Rigorous evaluation - Robust technique |
学科领域 | Gesture Recognition |
DOI | 10.1109/FG.2019.8756611 |
ISBN号 | 9781728100890 |
收录类别 | EI |
语种 | 英语 |
EI入藏号 | 20193307306865 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.psych.ac.cn/handle/311026/30041 |
专题 | 中国科学院行为科学重点实验室 |
作者单位 | 1.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 |
推荐引用方式 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. |
条目包含的文件 | 条目无相关文件。 |
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