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ISL Person Identification Systems in the CLEAR Evaluations

  • Hazım Kemal Ekenel
  • Qin Jin
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4122)

Abstract

In this paper, we presented three person identification systems that we have developed for the CLEAR evaluations. Two of the developed identification systems are based on single modalities- audio and video, whereas the third system uses both of these modalities. The visual identification system analyzes the face images of the individuals to determine the identity of the person. It processes multi-view, multi-frame information to provide the identity estimate. The speaker identification system processes the audio data from different channels and tries to determine the identity. The multi-modal identification system fuses the similarity scores obtained by the audio and video modalities to reach an identity estimate.

Keywords

Face Recognition Discrete Cosine Transform Face Image Speaker Identification Speaker Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Hazım Kemal Ekenel
    • 1
  • Qin Jin
    • 2
  1. 1.Interactive Systems Labs (ISL), Computer Science Department, Universität Karlsruhe (TH), 76131 KarlsruheGermany
  2. 2.Interactive Systems Labs (ISL), Computer Science Department, Carnegie Mellon University, 15213 Pittsburgh, PAUSA

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