A novel approach for face privacy protection based on surveillance video in complex scene
During the process of monitoring video surveillance, potential risks of leaking personal privacy information may occur due to the exposure of facial information to the surveillance video.It is necessary to mosaic the pedestrian privacy information in the real-time video stream.At present, the common...
Saved in:
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | zho |
Published: |
Beijing Xintong Media Co., Ltd
2021-01-01
|
Series: | Dianxin kexue |
Subjects: | |
Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021015/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1841529090312503296 |
---|---|
author | Chi ZHANG Ye LU Yuping LUO Xiaokai SUN Hanke ZHU |
author_facet | Chi ZHANG Ye LU Yuping LUO Xiaokai SUN Hanke ZHU |
author_sort | Chi ZHANG |
collection | DOAJ |
description | During the process of monitoring video surveillance, potential risks of leaking personal privacy information may occur due to the exposure of facial information to the surveillance video.It is necessary to mosaic the pedestrian privacy information in the real-time video stream.At present, the commonly used coding method based on face detection is heavily affected by pedestrian appearances and illumination, which often leads to weak real-time performance and undetected errors.To solve the problems above, a multi-detection model was proposed, combining face detection algorithm, target object detection algorithm and pre-frame association detection method, and compared with the traditional face detection model.Experimental results show that the recall rate of the proposed model is 532% higher than that of the traditional face detection algorithm. |
format | Article |
id | doaj-art-5b79961d0be54e48824c705c4ed23d7d |
institution | Kabale University |
issn | 1000-0801 |
language | zho |
publishDate | 2021-01-01 |
publisher | Beijing Xintong Media Co., Ltd |
record_format | Article |
series | Dianxin kexue |
spelling | doaj-art-5b79961d0be54e48824c705c4ed23d7d2025-01-15T03:25:43ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012021-01-01379410159806418A novel approach for face privacy protection based on surveillance video in complex sceneChi ZHANGYe LUYuping LUOXiaokai SUNHanke ZHUDuring the process of monitoring video surveillance, potential risks of leaking personal privacy information may occur due to the exposure of facial information to the surveillance video.It is necessary to mosaic the pedestrian privacy information in the real-time video stream.At present, the commonly used coding method based on face detection is heavily affected by pedestrian appearances and illumination, which often leads to weak real-time performance and undetected errors.To solve the problems above, a multi-detection model was proposed, combining face detection algorithm, target object detection algorithm and pre-frame association detection method, and compared with the traditional face detection model.Experimental results show that the recall rate of the proposed model is 532% higher than that of the traditional face detection algorithm.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021015/face privacy protectionface mosaicobject detection |
spellingShingle | Chi ZHANG Ye LU Yuping LUO Xiaokai SUN Hanke ZHU A novel approach for face privacy protection based on surveillance video in complex scene Dianxin kexue face privacy protection face mosaic object detection |
title | A novel approach for face privacy protection based on surveillance video in complex scene |
title_full | A novel approach for face privacy protection based on surveillance video in complex scene |
title_fullStr | A novel approach for face privacy protection based on surveillance video in complex scene |
title_full_unstemmed | A novel approach for face privacy protection based on surveillance video in complex scene |
title_short | A novel approach for face privacy protection based on surveillance video in complex scene |
title_sort | novel approach for face privacy protection based on surveillance video in complex scene |
topic | face privacy protection face mosaic object detection |
url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021015/ |
work_keys_str_mv | AT chizhang anovelapproachforfaceprivacyprotectionbasedonsurveillancevideoincomplexscene AT yelu anovelapproachforfaceprivacyprotectionbasedonsurveillancevideoincomplexscene AT yupingluo anovelapproachforfaceprivacyprotectionbasedonsurveillancevideoincomplexscene AT xiaokaisun anovelapproachforfaceprivacyprotectionbasedonsurveillancevideoincomplexscene AT hankezhu anovelapproachforfaceprivacyprotectionbasedonsurveillancevideoincomplexscene AT chizhang novelapproachforfaceprivacyprotectionbasedonsurveillancevideoincomplexscene AT yelu novelapproachforfaceprivacyprotectionbasedonsurveillancevideoincomplexscene AT yupingluo novelapproachforfaceprivacyprotectionbasedonsurveillancevideoincomplexscene AT xiaokaisun novelapproachforfaceprivacyprotectionbasedonsurveillancevideoincomplexscene AT hankezhu novelapproachforfaceprivacyprotectionbasedonsurveillancevideoincomplexscene |