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MIT Lincoln Laboratory Multimodal Person Identification System in the CLEAR 2007 Evaluation

  • Kevin Brady
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4625)

Abstract

A description of the MIT Lincoln Laboratory system used in the person identification task of the recent CLEAR 2007 Evaluation is documented in this paper. This task is broken into audio, visual, and multimodal subtasks. The audio identification system utilizes both a GMM and a SVM subsystem, while the visual (face) identification system utilizes an appearance-based [Kernel] approach for identification. The audio channels, originating from a microphone array, were preprocessed with beamforming and noise preprocessing.

Keywords

Gaussian Mixture Model (GMM) Support Vector Machine (SVM) Person Identification Kernel methods 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Kevin Brady
    • 1
  1. 1.MIT Lincoln Laboratory Lexington MassachusettsUSA

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