{"title":"视频监控系统中人脸掩蔽方案的研究","authors":"Dongchil Kim, Sungjoo Park","doi":"10.1109/ICUFN.2018.8436783","DOIUrl":null,"url":null,"abstract":"In this paper, we analyze face masking schemes in the video surveillance system for protecting the personal privacy from videos acquired by CCTV cameras. Existing face masking schemes have a problem that the face of humans can be identified because face masking setting values cannot be applied as an appropriate value. Through implementation results, we found optimal values for face masking to perfectly protect the personal privacy.","PeriodicalId":224367,"journal":{"name":"2018 Tenth International Conference on Ubiquitous and Future Networks (ICUFN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A Study on Face Masking Scheme in Video Surveillance System\",\"authors\":\"Dongchil Kim, Sungjoo Park\",\"doi\":\"10.1109/ICUFN.2018.8436783\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we analyze face masking schemes in the video surveillance system for protecting the personal privacy from videos acquired by CCTV cameras. Existing face masking schemes have a problem that the face of humans can be identified because face masking setting values cannot be applied as an appropriate value. Through implementation results, we found optimal values for face masking to perfectly protect the personal privacy.\",\"PeriodicalId\":224367,\"journal\":{\"name\":\"2018 Tenth International Conference on Ubiquitous and Future Networks (ICUFN)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Tenth International Conference on Ubiquitous and Future Networks (ICUFN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICUFN.2018.8436783\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Tenth International Conference on Ubiquitous and Future Networks (ICUFN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICUFN.2018.8436783","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Study on Face Masking Scheme in Video Surveillance System
In this paper, we analyze face masking schemes in the video surveillance system for protecting the personal privacy from videos acquired by CCTV cameras. Existing face masking schemes have a problem that the face of humans can be identified because face masking setting values cannot be applied as an appropriate value. Through implementation results, we found optimal values for face masking to perfectly protect the personal privacy.
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