LDR | | 00000nam u2200205 4500 |
001 | | 000000434469 |
005 | | 20200226151459 |
008 | | 200131s2019 ||||||||||||||||| ||eng d |
020 | |
▼a 9781687992918 |
035 | |
▼a (MiAaPQ)AAI22623010 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
082 | 0 |
▼a 004 |
100 | 1 |
▼a Chen, Jiawei. |
245 | 10 |
▼a Privacy-Preserving Smart-Room Visual Analytics. |
260 | |
▼a [S.l.]:
▼b Boston University.,
▼c 2019. |
260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2019. |
300 | |
▼a 136 p. |
500 | |
▼a Source: Dissertations Abstracts International, Volume: 81-05, Section: B. |
500 | |
▼a Advisor: Konrad, Janusz |
502 | 1 |
▼a Thesis (Ph.D.)--Boston University, 2019. |
506 | |
▼a This item must not be sold to any third party vendors. |
520 | |
▼a 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 |
590 | |
▼a School code: 0017. |
650 | 4 |
▼a Electrical engineering. |
650 | 4 |
▼a Computer science. |
690 | |
▼a 0544 |
690 | |
▼a 0984 |
710 | 20 |
▼a Boston University.
▼b Electrical & Computer Engineering ENG. |
773 | 0 |
▼t Dissertations Abstracts International
▼g 81-05B. |
773 | |
▼t Dissertation Abstract International |
790 | |
▼a 0017 |
791 | |
▼a Ph.D. |
792 | |
▼a 2019 |
793 | |
▼a English |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15493959
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
980 | |
▼a 202002
▼f 2020 |
990 | |
▼a ***1008102 |
991 | |
▼a E-BOOK |