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Privacy-Preserving Smart-Room Visual Analytics
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Privacy-Preserving Smart-Room Visual Analytics. |
| 개인저자 | Chen, Jiawei. |
| 단체저자명 | Boston University. Electrical & Computer Engineering ENG. |
| 발행사항 | [S.l.]: Boston University., 2019. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2019. |
| 형태사항 | 136 p. |
| 기본자료 저록 | Dissertations Abstracts International 81-05B. Dissertation Abstract International |
| ISBN | 9781687992918 |
| 학위논문주기 | Thesis (Ph.D.)--Boston University, 2019. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 81-05, Section: B.
Advisor: Konrad, Janusz |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 요약 | The proliferation of sensors in living spaces in the last few years has led to the concept of a smart room of the future - an environment that allows intelligent interaction with its occupants, be it a living or conference room. Among the promised benefits of future smart rooms are improved energy efficiency, health benefits and increased productivity. To realize such benefits, accurate and reliable localization of occupants and recognition of their poses, activities, and facial expressions are crucial. Extensive research has been performed to date in these areas, primarily using video cameras. However, with increasing concerns about privacy, the use of standard video cameras seems ill-suited for smart spaces |
| 일반주제명 | Electrical engineering. Computer science. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
