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http://dx.doi.org/10.5909/JBE.2020.25.1.105

Real-time Low-Resolution Face Recognition Algorithm for Surveillance Systems  

Kwon, Oh-Seol (School of Electronical Electronics and Control Engineering, Changwon National University)
Publication Information
Journal of Broadcast Engineering / v.25, no.1, 2020 , pp. 105-108 More about this Journal
Abstract
This paper presents a real-time low-resolution face recognition method that uses a super-resolution technique. Conventional face recognition methods are limited by low accuracy resulting from the distance between the camera and objects. Although super-resolution methods have been developed to resolve this issue, they are not suitable for integrated face recognition systems. The proposed method recognizes faces with low resolution using key frame selection, super resolution, face detection, and recognition on real-time processing. Experiments involving several databases indicated that the proposed algorithm is superior to conventional methods in terms of face recognition accuracy.
Keywords
Face recognition; CCTV; and Surveillance;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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