PRNU-based source identification for network video surveillance system

Sai Chung Law, Ngai Fong Law

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

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.
Original languageEnglish
Title of host publication2018 IEEE International Conference on Consumer Electronics, ICCE 2018
EditorsSaraju P. Mohanty, Hai Li, Peter Corcoran, Jong-Hyouk Lee, Anirban Sengupta
PublisherIEEE
Pages1-2
Number of pages2
Volume2018-January
ISBN (Electronic)9781538630259
DOIs
Publication statusPublished - 26 Mar 2018
Event2018 IEEE International Conference on Consumer Electronics, ICCE 2018 - Las Vegas, United States
Duration: 12 Jan 201814 Jan 2018

Conference

Conference2018 IEEE International Conference on Consumer Electronics, ICCE 2018
Country/TerritoryUnited States
CityLas Vegas
Period12/01/1814/01/18

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Media Technology

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