Please use this identifier to cite or link to this item: https://doi.org/10.1155/2012/639649
Title: Adaptive transformation for robust privacy protection in video surveillance
Authors: Saini, M.
Atrey, P.K.
Mehrotra, S.
Kankanhalli, M. 
Issue Date: 2012
Source: Saini, M.,Atrey, P.K.,Mehrotra, S.,Kankanhalli, M. (2012). Adaptive transformation for robust privacy protection in video surveillance. Advances in Multimedia 2012. ScholarBank@NUS Repository. https://doi.org/10.1155/2012/639649
Abstract: Privacy is a big concern in current video surveillance systems. Due to privacy issues, many strategic places remain unmonitored leading to security threats. The main problem with existing privacy protection methods is that they assume availability of accurate region of interest (RoI) detectors that can detect and hide the privacy sensitive regions such as faces. However, the current detectors are not fully reliable, leading to breaches in privacy protection. In this paper, we propose a privacy protection method that adopts adaptive data transformation involving the use of selective obfuscation and global operations to provide robust privacy even with unreliable detectors. Further, there are many implicit privacy leakage channels that have not been considered by researchers for privacy protection. We block both implicit and explicit channels of privacy leakage. Experimental results show that the proposed method incurs 38 less distortion of the information needed for surveillance in comparison to earlier methods of global transformation; while still providing near-zero privacy loss. Copyright © 2012 Mukesh Saini et al.
Source Title: Advances in Multimedia
URI: http://scholarbank.nus.edu.sg/handle/10635/39524
ISSN: 16875680
DOI: 10.1155/2012/639649
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
2012-adaptive_transformation_robust_privacy_protection-pub.pdf4.93 MBAdobe PDF

OPEN

PublishedView/Download

SCOPUSTM   
Citations

10
checked on Dec 12, 2017

Page view(s)

61
checked on Dec 15, 2017

Download(s)

2
checked on Dec 15, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.