Toward efficient and intelligent video analytics with visual privacy protection for large-scale surveillance

Tu N.A. Huynh-The T. Wong K.-S. Demirci M.F. Lee Y.-K.
December 2021 Springer

Journal of Supercomputing
2021 #77 Issue 12 14374 - 14404 pp.

Nowadays, the explosion of CCTV cameras has resulted in an increasing demand for distributed solutions to efficiently process the vast volume of video data. Otherwise, the use of surveillance when people are being watched remotely and recorded continuously has raised a significant threat to visual privacy. Using existing systems cannot prevent any party from exploiting unwanted personal data of others. In this paper, we develop an intelligent surveillance system with integrated privacy protection, where it is built on the top of big data tools, i.e., Kafka and Spark Streaming. To protect individual privacy, we propose a privacy-preserving solution based on effective face recognition and tracking mechanisms. Particularly, we associate body pose with face to reduce privacy leaks across video frames. The body pose is also exploited to infer person-centric information like human activities. Extensive experiments conducted on benchmark datasets further demonstrate the efficiency of our system for various vision tasks.

Apache spark , Big data , Human activity analysis , Intelligent video analytics , Large-scale surveillance , Visual privacy

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Department of Computer Science, Nazarbayev University, 53 Kabanbay Batyr Ave, Astana, Nur-Sultan, 010000, Kazakhstan
ICT Convergence Research Center, Kumoh National Institute of Technology, 61, Daehak-ro, Gumi-si, 39177, Gyeongsangbuk-do, South Korea
College of Engineering and Computer Science, VinUniversity, Vinhomes Ocean Park, Gia Lam District, Hanoi, Viet Nam
Department of Computer Science and Engineering, Kyung Hee University, Global Campus, 1732 Deokyoungdae-ro, Giheung-gu, Yongin-si, 446-701, Gyeonggi-do, South Korea
Department of Computer Engineering, TOBB University of Economics and Technology, Sogutozu Cad, No: 43, Ankara, Turkey

Department of Computer Science
ICT Convergence Research Center
College of Engineering and Computer Science
Department of Computer Science and Engineering
Department of Computer Engineering

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