Please use this identifier to cite or link to this item:
Title: PRNU-based source identification for network video surveillance system
Authors: Law, SC 
Law, NF 
Issue Date: 2018
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: 2018 IEEE International Conference on Consumer Electronics, ICCE 2018, 2018, v. 2018-January, p. 1-2 How to cite?
Abstract: Photo response non-uniformity (PRNU) noise has been proven instrumental for camera source identification in image forensics. The paper proposes a signal-based detection system using PRNU for source verification in video surveillance systems. The effects of different aspects such as video resolutions, frame types and environmental conditions on the accuracy and reliability of the system have been tested. Our results show that the signal-based approach is effective to verify the video source.
Description: 2018 IEEE International Conference on Consumer Electronics, ICCE 2018, Las Vegas, United States, 12-14 January 2018
ISBN: 9781538630259
DOI: 10.1109/ICCE.2018.8326094
Appears in Collections:Conference Paper

View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

Citations as of May 21, 2019

Google ScholarTM



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