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Proceedings Paper

Nonlinear fringe-adjusted JTC-based face tracking using an adaptive decision criterion
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Paper Abstract

In this paper, we propose a new technique for rotation invariant recognition and tracking of the face of a target person in a given scene. We propose an optimized method for face tracking based on the Fringe-adjusted JTC architecture. To validate our approach, we used the PHPID data base containing1 faces with various in-plane rotations. To enhance the robustness of the proposed method, we used a three-step optimization technique by: (1) utilizing the fringe-adjusted filter (HFAF) in the Fourier plane, (2) adding nonlinearity in the Fourier plane after applying the HFAF filter, and (3) using a new decision criterion in the correlation plane by considering the correlation peak energy and five largest peaks outside the highest correlation peak. Several tests were made to reduce the number of reference images needed for fast tracking while ensuring robust discrimination and efficient of the desired target.

Paper Details

Date Published: 22 September 2011
PDF: 6 pages
Proc. SPIE 8134, Optics and Photonics for Information Processing V, 81340M (22 September 2011); doi: 10.1117/12.905266
Show Author Affiliations
I. Leonard, Institut Supérieur d'Electronique du Nord, Brest (France)
A. Alfalou, Institut Supérieur d'Electronique du Nord, Brest (France)
M. S. Alam, Univ. of South Alabama (United States)


Published in SPIE Proceedings Vol. 8134:
Optics and Photonics for Information Processing V
Khan M. Iftekharuddin; Abdul Ahad Sami Awwal, Editor(s)

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