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.
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References
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Ekenel, H.K., Jin, Q. (2007). ISL Person Identification Systems in the CLEAR Evaluations. In: Stiefelhagen, R., Garofolo, J. (eds) Multimodal Technologies for Perception of Humans. CLEAR 2006. Lecture Notes in Computer Science, vol 4122. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69568-4_22
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DOI: https://doi.org/10.1007/978-3-540-69568-4_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69567-7
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