Decision-level fusion approach to face recognition with multiple cameras

Seokwon Yeom

doi:10.1117/12.2053638

28 May 2014 Decision-level fusion approach to face recognition with multiple cameras

Seokwon Yeom

Proceedings Volume 9120, Mobile Multimedia/Image Processing, Security, and Applications 2014; 91200G (2014) https://doi.org/10.1117/12.2053638
Event: SPIE Sensing Technology + Applications, 2014, Baltimore, MD, United States

Abstract

Face classification of multiple cameras has wide applications in surveillance. In this paper, the efficacy of a multi-frame decision-level fusion scheme for face classification based on the photon-counting linear discriminant analysis is investigated. The photon-counting linear discriminant analysis method is able to realize Fisher’s criterion without preprocessing for dimensionality reduction. The decision-level fusion scheme is comprised of three stages: score normalization, score validation, and score combination. After normalization, the candidate scores are selected and combined by means of a score validation process and a fusion rule, respectively, in order to generate a final score. In the experiments, out-of-focus and motion blurs are rendered on test images simulating harsh conditions.

Citation Download Citation

Seokwon Yeom "Decision-level fusion approach to face recognition with multiple cameras", Proc. SPIE 9120, Mobile Multimedia/Image Processing, Security, and Applications 2014, 91200G (28 May 2014); https://doi.org/10.1117/12.2053638

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