Open-set face recognition system

This work introduces a real-time video-based open-set face recognition system. The system has been developed for the identification of people who stand in front of an interactive screen to communicate with a virtual application. The system uses Discrete Cosine Transform (DCT) features obtained from...

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Bibliographic Details
Published in2012 20th Signal Processing and Communications Applications Conference (SIU) pp. 1 - 2
Main Authors Guney, F., Arar, N. M., Ekenel, H. K.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2012
Subjects
Computer vision
Conferences
Discrete cosine transforms
Face
Face recognition
Support vector machines
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Summary:This work introduces a real-time video-based open-set face recognition system. The system has been developed for the identification of people who stand in front of an interactive screen to communicate with a virtual application. The system uses Discrete Cosine Transform (DCT) features obtained from non-overlapping 20 blocks, and Support Vector Machines (SVM) based verifiers are employed for the classification. To evaluate the system's performance in this application scenario, a face database has been collected in front of the interactive screen. The results on the collected database show that the developed system can operate reliably under real-world conditions.
ISBN:9781467300551
1467300551
ISSN:2165-0608
2693-3616
DOI:10.1109/SIU.2012.6204819