Detection of Micro Movements of Facial Muscles in Facial Videos

G. Fahmy
{"title":"Detection of Micro Movements of Facial Muscles in Facial Videos","authors":"G. Fahmy","doi":"10.1109/JAC-ECC54461.2021.9691309","DOIUrl":null,"url":null,"abstract":"During the last decade there has been many efforts by researchers to investigate the micro motion magnification from different types of videos. This was mainly due to its impact in many computer vision applications. In this paper we present how to detect these micro movements in natural face videos using basic band pass filtering. We then propose to utilize Complex Wavelets to magnify detected micro movements and make then visible. This proposed technique when applied on natural face videos can reveal different muscle movements which would indicate many different symptoms and expressions. Our proposed technique can be utilized in Forensic science, automatic deception detection, medical diagnose and psychotherapy. Several experiments on a large Face video database are reported along with results analysis and comparisons with similar literature techniques.","PeriodicalId":354908,"journal":{"name":"2021 9th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 9th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/JAC-ECC54461.2021.9691309","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

During the last decade there has been many efforts by researchers to investigate the micro motion magnification from different types of videos. This was mainly due to its impact in many computer vision applications. In this paper we present how to detect these micro movements in natural face videos using basic band pass filtering. We then propose to utilize Complex Wavelets to magnify detected micro movements and make then visible. This proposed technique when applied on natural face videos can reveal different muscle movements which would indicate many different symptoms and expressions. Our proposed technique can be utilized in Forensic science, automatic deception detection, medical diagnose and psychotherapy. Several experiments on a large Face video database are reported along with results analysis and comparisons with similar literature techniques.
人脸视频中面部肌肉微运动的检测
在过去的十年中,研究人员对不同类型视频的微运动放大进行了大量的研究。这主要是由于它在许多计算机视觉应用中的影响。在本文中,我们提出了如何使用基本带通滤波来检测自然人脸视频中的这些微运动。然后,我们提出利用复杂小波来放大检测到的微运动并使其可见。当应用于自然面部视频时,该技术可以显示不同的肌肉运动,这些肌肉运动可以显示许多不同的症状和表情。我们提出的技术可用于法医学、自动欺骗检测、医学诊断和心理治疗。报告了在大型人脸视频数据库上进行的几个实验,并对结果进行了分析,并与类似的文献技术进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信