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Automatic signer diarization - the mover is the signer approach

MPG-Autoren
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Gebre,  Binyam Gebrekidan
The Language Archive, MPI for Psycholinguistics, Max Planck Society;

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Wittenburg,  Peter
The Language Archive, MPI for Psycholinguistics, Max Planck Society;

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signer_diarization_published.pdf
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Zitation

Gebre, B. G., Wittenburg, P., & Heskes, T. (2013). Automatic signer diarization - the mover is the signer approach. In Computer Vision and Pattern Recognition Workshops (CVPRW), 2013 IEEE Conference on (pp. 283-287). doi:10.1109/CVPRW.2013.49.


Zitierlink: https://hdl.handle.net/11858/00-001M-0000-000E-FBCE-B
Zusammenfassung
We present a vision-based method for signer diarization -- the task of automatically determining "who signed when?" in a video. This task has similar motivations and applications as speaker diarization but has received little attention in the literature. In this paper, we motivate the problem and propose a method for solving it. The method is based on the hypothesis that signers make more movements than their interlocutors. Experiments on four videos (a total of 1.4 hours and each consisting of two signers) show the applicability of the method. The best diarization error rate (DER) obtained is 0.16.