dc.contributor | 資科系 | en_US |
dc.creator (作者) | 廖文宏;郭仁和 | zh_TW |
dc.creator (作者) | Liao, Wen-Hung ; Kuo, Jen-Ho | en_US |
dc.date (日期) | 2013.02 | en_US |
dc.date.accessioned | 20-Jun-2014 16:30:27 (UTC+8) | - |
dc.date.available | 20-Jun-2014 16:30:27 (UTC+8) | - |
dc.date.issued (上傳時間) | 20-Jun-2014 16:30:27 (UTC+8) | - |
dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/66785 | - |
dc.description.abstract (摘要) | 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. | en_US |
dc.format.extent | 746853 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en_US | - |
dc.relation (關聯) | Journal of Ambient Intelligence and Humanized Computing,4(1),57-66 | en_US |
dc.subject (關鍵詞) | Smart home;Sleep monitoring;Texture-based background modeling;Local binary pattern;Local ternary pattern | en_US |
dc.title (題名) | Sleep Monitoring System in Real Bedroom Environment Using Texture-based Background Modeling Approaches | en_US |
dc.type (資料類型) | book/chapter | en |
dc.identifier.doi (DOI) | 10.1007/s12652-011-0067-x | en_US |
dc.doi.uri (DOI) | http://dx.doi.org/10.1007/s12652-011-0067-x | en_US |