An image processing based method for chewing detection using Variable-intensity template

Atsuto Fujimoto*, Takaaki Ohkawauchi, Junji Yamato, Jun Ohya


    研究成果: Conference article査読

    2 被引用数 (Scopus)


    To contribute to the actualization of the care worker assistance robot, this paper proposes a method for detecting whether the care receiver is chewing from the video sequence acquired by the camera that observes that receiver. The proposed method detects the receiver's face and areas for both cheeks and chin. After applying some normalization to the areas, chewing detection that uses a variable-intensity template is performed, where the template consists of shape models, interest points and intensity distribution model. A likelihood based on the variableintensity template is computed so that the receiver is judged whether the receiver is chewing. Experiments using seven subjects are conducted. As a result, the accuracy of chewing detection by the proposed method is 83%, which is quite promising.

    ジャーナルIS and T International Symposium on Electronic Imaging Science and Technology
    Part F138660
    出版ステータスPublished - 2018 1月 1
    イベントIntelligent Robotics and Industrial Applications using Computer Vision 2018, IRIACV 2018 - Burlingame, United States
    継続期間: 2018 1月 282018 2月 1

    ASJC Scopus subject areas

    • コンピュータ グラフィックスおよびコンピュータ支援設計
    • コンピュータ サイエンスの応用
    • 人間とコンピュータの相互作用
    • ソフトウェア
    • 電子工学および電気工学
    • 原子分子物理学および光学


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