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Application of Face Recognition Methods for Process Automation in Intelligent Meeting Room

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Internet of Things, Smart Spaces, and Next Generation Networks and Systems (NEW2AN 2014)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 8638))

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Abstract

This paper describes the automatic registration technique based on face recognition of meeting participants, which has been implemented in the intelligent meeting room. This technique provides unobtrusive recognition and picture making of participant faces. Application of the developed technique makes it possible to reduce the work of secretaries and videographers; it also allows participants to concentrate on the discussed issues at the expense of automated control of sensory equipment. For the experimental evaluation of the developed methods and the technique about 52,000 photographs for 36 participants were accumulated from a high resolution camera. During the experiments three face recognition methods LBP, PCA and LDA were compared. The experimental results showed that method LBP has the highest recognition accuracy 79,3%, but the PCA method has the lowest percentage of the false positives 1,3%, which is important aspect in the participants identification.

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Author information

Authors and Affiliations

  1. SPIIRAS, 39, 14th line, St. Petersburg, 199178, Russia

    Alexander Ronzhin

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  1. Alexander Ronzhin
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Editors and Affiliations

  1. FRUCT Oy, Kissankellontie 20B,, 00930, Helsinki, Finland

    Sergey Balandin

  2. Department of Electronics and Communications Engineering, Tampere University of Technology, Korkeakoulunkatu 1, 33720, Tampere, Finland

    Sergey Andreev  & Yevgeni Koucheryavy  & 

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Ronzhin, A. (2014). Application of Face Recognition Methods for Process Automation in Intelligent Meeting Room. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN 2014. Lecture Notes in Computer Science, vol 8638. Springer, Cham. https://doi.org/10.1007/978-3-319-10353-2_14

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  • DOI: https://doi.org/10.1007/978-3-319-10353-2_14

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10352-5

  • Online ISBN: 978-3-319-10353-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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