CCTV-RFID enabled multifactor...(Multimedia Tools and Applications, 2020.06) > 자유게시판

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논문명

CCTV-RFID enabled multifactor authentication model for secure differential level video access control

Abstract

In the intelligent CCTV surveillance environment, personal identity is confirmed based on face recognition. However, the recognition rate of the current face recognition technology is still faulty. In particular, face recognition may not work correctly due to various causes such as CCTV shot quality, weather, personal pose and facial expression, hairstyle, lighting condition, and so on. In this case, there is a great risk of exposing object’s privacy information in the video surveillance environment due to erroneous object judgment. This paper proposes a video surveillance-based access control technique that combines a facial recognition system using CCTV machine learning with radio-frequency identification(RFID). The proposed method is implemented when accurate facial recognition is difficult to achieve due to poor video quality or low levels of similarity against feature vectors, in which cases multi-channel authentication is performed with the use of RFID features available on a mobile device in possession of the individual. The dual-channel authentication approach can still help identify the entity and protect his or her privacy with greater security even if the RFID tags for authentication are breached or accurate facial detection becomes challenging due to various factors such as CCTV video quality deterioration.

논문 정보

Jinsu Kim1 & Donghyeok Lee2 & Namje Park1,2

Received: 24 June 2019 /Revised: 25 March 2020 /Accepted: 1 May 2020

# Springer Science+Business Media, LLC, part of Springer Nature 2020

Multimedia Tools and Applications

https://doi.org/10.1007/s11042-020-09016-z