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    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/66785

    Title: Sleep Monitoring System in Real Bedroom Environment Using Texture-based Background Modeling Approaches
    Authors: 廖文宏;郭仁和
    Liao, Wen-Hung;Kuo, Jen-Ho
    Contributors: 資科系
    Keywords: Smart home;Sleep monitoring;Texture-based background modeling;Local binary pattern;Local ternary pattern
    Date: 2013.02
    Issue Date: 2014-06-20 16:30:27 (UTC+8)
    Abstract: This paper presents a video-based sleep monitoring system for real-life bedroom environments. We envision a smart living space with ambient intelligence components to record and monitor sleep in a non-invasive manner. We will describe the overall structure of the proposed system. Special emphasis, however, will be put on the formulation of a robust background modeling technique as the brightness in a real bedroom environment will change gradually at dawn, which creates a severe problem in video-based systems. To address the issue, we have demonstrated how to model brightness changes during morning hours. We have also investigated various texture-based background modeling techniques, including local binary/ternary patterns, to handle lighting changes at dawn in smooth regions for robust long-term monitoring. Comparative analyses have been carried out to examine the efficacy of different background modeling approaches on the sleep monitoring system.
    Relation: Journal of Ambient Intelligence and Humanized Computing,4(1),57-66
    Data Type: book/chapter
    DOI 連結: http://dx.doi.org/10.1007/s12652-011-0067-x
    DOI: 10.1007/s12652-011-0067-x
    Appears in Collections:[資訊科學系] 專書/專書篇章

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