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

I. Leonard; A. Alfalou; M. S. Alam

doi:10.1117/12.905266

22 September 2011 Nonlinear fringe-adjusted JTC-based face tracking using an adaptive decision criterion

I. Leonard, A. Alfalou, M. S. Alam

Proceedings Volume 8134, Optics and Photonics for Information Processing V; 81340M (2011) https://doi.org/10.1117/12.905266
Event: SPIE Optical Engineering + Applications, 2011, San Diego, California, United States

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 (H_FAF) in the Fourier plane, (2) adding nonlinearity in the Fourier plane after applying the H_FAF 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.

Citation Download Citation

I. Leonard, A. Alfalou, and M. S. Alam "Nonlinear fringe-adjusted JTC-based face tracking using an adaptive decision criterion", Proc. SPIE 8134, Optics and Photonics for Information Processing V, 81340M (22 September 2011); https://doi.org/10.1117/12.905266

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