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Proceedings Paper

Decision-level fusion approach to face recognition with multiple cameras
Author(s): Seokwon Yeom
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Paper 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.

Paper Details

Date Published: 28 May 2014
PDF: 6 pages
Proc. SPIE 9120, Mobile Multimedia/Image Processing, Security, and Applications 2014, 91200G (28 May 2014); doi: 10.1117/12.2053638
Show Author Affiliations
Seokwon Yeom, Daegu Univ. (Korea, Republic of)

Published in SPIE Proceedings Vol. 9120:
Mobile Multimedia/Image Processing, Security, and Applications 2014
Sos S. Agaian; Sabah A. Jassim; Eliza Yingzi Du, Editor(s)

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