Spotting micro-expressions on long videos sequences | |
Li, Jingting1; Soladié, Catherine1; Séguier, Renaud1; Wang, Su-Jing2; Yap, Moi Hoon3 | |
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 | 2 |
摘要 | This paper presents two methods for the first Micro-Expression Spotting Challenge 2019 by evaluating local temporal pattern (LTP) and local binary pattern (LBP) on two most recent databases, i.e. SAMM and CAS(ME)2. First we propose LTP-ML method as the baseline results for the challenge and then we compare the results with the LBP-χ2-distance method. The LTP patterns are extracted by applying PCA in a temporal window on several facial local regions. The micro-expression sequences are then spotted by a local classification of LTP and a global fusion. The LBP-χ2-distance method is to compare the feature difference by calculating χ2distance of LBP in a time window, the facial movements are then detected with a threshold. The performance is evaluated by Leave-One-Subject-Out cross validation. The overlap frames are used to determine the True Positives and the metric F1-score is used to compare the spotting performance of the databases. The F1-score of LTP-ML result for SAMM and CAS(ME)2 are 0.0316 and 0.0179, respectively. The results show our proposed LTP-ML method outperformed LBP-χ2-distance method in terms of F1-score on both databases. © 2019 IEEE. |
关键词 | Baseline results - Cross validation - Facial movements - Feature differences - Local binary patterns - Micro-expressions - Temporal pattern - Temporal windows |
学科领域 | Gesture Recognition |
DOI | 10.1109/FG.2019.8756626 |
ISBN号 | 9781728100890 |
收录类别 | EI |
EI入藏号 | 20193307305590 |
EI主题词 | Database systems |
EI分类号 | 723.3 Database Systems |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.psych.ac.cn/handle/311026/30035 |
专题 | 认知与发展心理学研究室 |
作者单位 | 1.CentraleSupélec, CNRS, IETR, UMR 6164, Rennes; F-35000, France; 2.Key Laboratory of Behavior Sciences, Institute of Psychology, Chinese Academy of Sciences, Beijing; 100101, China; 3.Manchester Metropolitan University, Manchester; M1 5GD, United Kingdom |
推荐引用方式 GB/T 7714 | Li, Jingting,Soladié, Catherine,Séguier, Renaud,et al. Spotting micro-expressions on long videos sequences[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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