Face Mask Wearing Recognition System for Big Data Video Streaming
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Van-Phuc-Le, | - |
dc.contributor.author | Bui, T.-N. | - |
dc.contributor.author | Nguyen, T.-T. | - |
dc.contributor.author | Do, C.-T. | - |
dc.contributor.author | Do, T.-H. | - |
dc.contributor.author | Masood, A. | - |
dc.contributor.author | Cho, Sungrae | - |
dc.date.accessioned | 2022-12-29T03:41:16Z | - |
dc.date.available | 2022-12-29T03:41:16Z | - |
dc.date.issued | 2022-10 | - |
dc.identifier.issn | 2162-1233 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/59806 | - |
dc.description.abstract | With the outbreak of the covid-19 pandemic in recent years, Video Stream Analytics technology quickly became a hot topic of discussion across technology forums. As it has appeared, in the pandemic situation in recent years, the use of masks when interacting with the community is a must, that's why the research works on mask identification today and more. receiving more and more attention. Understanding the situation, the team conducted facial recognition analysis inside the video to determine if the people appearing in the video were wearing masks. to then apply the trained model into practice. After a period of research, the team has also successfully built a mask recognition system that can generate images and can display the results as real-time video. Especially, the model is trained successful using systemml machine learning system. This is considered a positive result with real-time masked face recognition analysis. © 2022 IEEE. | - |
dc.format.extent | 6 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | IEEE Computer Society | - |
dc.title | Face Mask Wearing Recognition System for Big Data Video Streaming | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/ICTC55196.2022.9952941 | - |
dc.identifier.bibliographicCitation | International Conference on ICT Convergence, v.2022-October, pp 1101 - 1106 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-85143252326 | - |
dc.citation.endPage | 1106 | - |
dc.citation.startPage | 1101 | - |
dc.citation.title | International Conference on ICT Convergence | - |
dc.citation.volume | 2022-October | - |
dc.type.docType | Conference Paper | - |
dc.publisher.location | 미국 | - |
dc.subject.keywordAuthor | Big data | - |
dc.subject.keywordAuthor | Face mask wearing detection | - |
dc.subject.keywordAuthor | SystemML | - |
dc.subject.keywordAuthor | Video streaming | - |
dc.description.journalRegisteredClass | scopus | - |
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