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...

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Main Authors: Chi ZHANG, Ye LU, Yuping LUO, Xiaokai SUN, Hanke ZHU
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/
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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/
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