ISL Person Identification Systems in the CLEAR 2007 Evaluations

نویسندگان

  • Hazim Kemal Ekenel
  • Qin Jin
  • Mika Fischer
  • Rainer Stiefelhagen
چکیده

In this paper, we present ISL person identification systems in the CLEAR 2007 evaluations. The identification systems consist of a face recognition system, a speaker identification system and a multi-modal identification system that combines the individual systems. The experimental results show that the face recognition system outperforms the speaker identification system significantly on the short duration test segments. They perform equally well on the longer duration test segments. Combination of the individual systems improves the performance further.

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تاریخ انتشار 2007