Multi-modal person identification in a smart environment

Hazim Kemal Ekenel*, Mika Fischer, Qin Jin, Rainer Stiefelhagen

*Bu çalışma için yazışmadan sorumlu yazar

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19 Atıf (Scopus)

Özet

In this paper, we present a detailed analysis of multi-modal fusion for person identification in a smart environment. The multi-modal system consists of a video-based face recognition system and a speaker identification system. We investigated different score normalization, modality weighting and modality combination schemes during the fusion of the individual modalities. We introduced two new modality weighting schemes, namely, the cumulative ratio of correct matches (CRCM) and distance-to-second-closest (DT2ND) measures. In addition, we also assessed the effects of the well-known score normalization and classifier combination methods on the identification performance. Experimental results obtained on the CLEAR 2007 evaluation corpus, which contains audio-visual recordings from different smart rooms, show that CRCM-based modality weighting improves the correct identification rates significantly.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'07
DOI'lar
Yayın durumuYayınlandı - 2007
Harici olarak yayınlandıEvet
Etkinlik2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'07 - Minneapolis, MN, United States
Süre: 17 Haz 200722 Haz 2007

Yayın serisi

AdıProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ISSN (Basılı)1063-6919

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???event.eventtypes.event.conference???2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'07
Ülke/BölgeUnited States
ŞehirMinneapolis, MN
Periyot17/06/0722/06/07

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