景深相机是否能保护匿名性?

Cecile Appert-Rolland, Sami Habet
{"title":"景深相机是否能保护匿名性?","authors":"Cecile Appert-Rolland, Sami Habet","doi":"10.17815/cd.2024.176","DOIUrl":null,"url":null,"abstract":"This paper presents a preliminary study to assess the degree of anonymization provided by the use of depth field camera, for various degrees of pixelization.\nFirst the passage of 24 participants under a depth field camera was recorded. Each of the corresponding video was degraded with various levels of pixelization. Then the videos were shown to a subset of 6 participants, using a dedicated software which presents the videos in random order, starting with the lowest resolution. Each participant had to recognize themself, and in order to achieve this goal, could progressively improve the resolution.\nOur results question the fact that pixelization is the proper way to improve anonymity. Actually recognition seems to a large extend to be based on dynamic features rather than on the resolution of the picture. Besides we identify mostly 2 groups of responses: either the person can identify him/herself whatever the pixelization, or the recognition task is out of reach. Thus, the ability to use dynamic features could be person dependent. Further exploration would be useful to confirm this observation.","PeriodicalId":93276,"journal":{"name":"Collective dynamics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Are Depth Field Cameras Preserving Anonymity?\",\"authors\":\"Cecile Appert-Rolland, Sami Habet\",\"doi\":\"10.17815/cd.2024.176\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a preliminary study to assess the degree of anonymization provided by the use of depth field camera, for various degrees of pixelization.\\nFirst the passage of 24 participants under a depth field camera was recorded. Each of the corresponding video was degraded with various levels of pixelization. Then the videos were shown to a subset of 6 participants, using a dedicated software which presents the videos in random order, starting with the lowest resolution. Each participant had to recognize themself, and in order to achieve this goal, could progressively improve the resolution.\\nOur results question the fact that pixelization is the proper way to improve anonymity. Actually recognition seems to a large extend to be based on dynamic features rather than on the resolution of the picture. Besides we identify mostly 2 groups of responses: either the person can identify him/herself whatever the pixelization, or the recognition task is out of reach. Thus, the ability to use dynamic features could be person dependent. Further exploration would be useful to confirm this observation.\",\"PeriodicalId\":93276,\"journal\":{\"name\":\"Collective dynamics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Collective dynamics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17815/cd.2024.176\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Collective dynamics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17815/cd.2024.176","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文介绍了一项初步研究,以评估使用深度场摄像机在不同像素化程度下提供的匿名化程度。首先记录了 24 名参与者在深度场摄像机下的经过。首先记录了 24 名参与者在深度摄像头下的经过,并对每段视频进行了不同程度的像素化处理。然后,使用专用软件将这些视频以随机顺序播放给 6 名参与者。我们的结果对像素化是提高匿名性的正确方法这一事实提出了质疑。实际上,识别在很大程度上是基于动态特征而不是图片的分辨率。此外,我们还发现主要有两类反应:要么是无论像素化程度如何都能识别出本人,要么是识别任务无法完成。因此,使用动态特征的能力可能与人有关。进一步的探索将有助于证实这一观点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Are Depth Field Cameras Preserving Anonymity?
This paper presents a preliminary study to assess the degree of anonymization provided by the use of depth field camera, for various degrees of pixelization. First the passage of 24 participants under a depth field camera was recorded. Each of the corresponding video was degraded with various levels of pixelization. Then the videos were shown to a subset of 6 participants, using a dedicated software which presents the videos in random order, starting with the lowest resolution. Each participant had to recognize themself, and in order to achieve this goal, could progressively improve the resolution. Our results question the fact that pixelization is the proper way to improve anonymity. Actually recognition seems to a large extend to be based on dynamic features rather than on the resolution of the picture. Besides we identify mostly 2 groups of responses: either the person can identify him/herself whatever the pixelization, or the recognition task is out of reach. Thus, the ability to use dynamic features could be person dependent. Further exploration would be useful to confirm this observation.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
审稿时长
23 weeks
期刊最新文献
Improving Pedestrian Dynamics Predictions Using Neighboring Factors Evaluation of Data Fitting Approaches for Speed/Flow Density Relationships Numerical and Theoretical Analysis of a New One-Dimensional Cellular Automaton Model for Bidirectional Flows Are Depth Field Cameras Preserving Anonymity? Pilot Study of Mental Simulation of People Movement During Evacuations
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1