Video-based Side-view Face Recognition for Home Safety

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    Abstract

    In this paper, we introduce a registration method for side-view face recognition that is suitable for home safety applications. We use cameras attached at door posts, and recognize people as they pass through doors to estimate their location in the house. First, we present a new database that is collected using this setup, where we use side cameras and ambient light. We recorded videos of 14 people that pass through doors in 18 different paths. Next, we propose our recognition method where we automatically find the profile to register the face images. By applying hierarchical clustering we detect the frames that include falsely detected profiles and pose variations, and automatically remove them from the video sequence to improve our results. After registering, we find the nose tip, apply recognition based on profiles, and analyze our results.
    Original languageEnglish
    Title of host publication33rd Symposium on Information Theory in the Benelux and the 2nd Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux
    Place of PublicationEnschede
    PublisherWerkgemeenschap voor Informatie- en Communicatietheorie (WIC)
    Pages220-227
    Number of pages8
    ISBN (Print)978-90-365-3383-6
    Publication statusPublished - May 2012
    Event33rd WIC Symposium on Information Theory in the Benelux and the 2nd Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux 2012 - Boekelo, Netherlands
    Duration: 24 May 201225 May 2012
    Conference number: 33

    Conference

    Conference33rd WIC Symposium on Information Theory in the Benelux and the 2nd Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux 2012
    CountryNetherlands
    CityBoekelo
    Period24/05/1225/05/12

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    Keywords

    • SCS-Safety
    • IR-84167
    • METIS-296303
    • EWI-23079

    Cite this

    Santemiz, P., Spreeuwers, L. J., & Veldhuis, R. N. J. (2012). Video-based Side-view Face Recognition for Home Safety. In 33rd Symposium on Information Theory in the Benelux and the 2nd Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux (pp. 220-227). Enschede: Werkgemeenschap voor Informatie- en Communicatietheorie (WIC).