Privacy Protection Method based on Multi-Object Authentication in Intelligent CCTV Environment 


Vol. 46,  No. 2, pp. 154-160, Feb.  2019
10.5626/JOK.2019.46.2.154


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  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. The proposed method can increase the recognition rate of objects based on the CCTV-RFID hybrid authentication method, and thus protect the privacy of the image object.


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  Cite this article

[IEEE Style]

D. Lee and N. Park, "Privacy Protection Method based on Multi-Object Authentication in Intelligent CCTV Environment," Journal of KIISE, JOK, vol. 46, no. 2, pp. 154-160, 2019. DOI: 10.5626/JOK.2019.46.2.154.


[ACM Style]

Donghyeok Lee and Namje Park. 2019. Privacy Protection Method based on Multi-Object Authentication in Intelligent CCTV Environment. Journal of KIISE, JOK, 46, 2, (2019), 154-160. DOI: 10.5626/JOK.2019.46.2.154.


[KCI Style]

이동혁, 박남제, "지능형 CCTV 환경에서의 다중객체 인증기반 프라이버시 보호방안," 한국정보과학회 논문지, 제46권, 제2호, 154~160쪽, 2019. DOI: 10.5626/JOK.2019.46.2.154.


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