語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Distributed multi-modal human activi...
~
Chen, Cheng-Yao.
FindBook
Google Book
Amazon
博客來
Distributed multi-modal human activity analysis: From algorithms to systems.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Distributed multi-modal human activity analysis: From algorithms to systems./
作者:
Chen, Cheng-Yao.
面頁冊數:
232 p.
附註:
Source: Dissertation Abstracts International, Volume: 68-10, Section: B, page: .
Contained By:
Dissertation Abstracts International68-10B.
標題:
Engineering, Electronics and Electrical. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3286109
ISBN:
9780549285144
Distributed multi-modal human activity analysis: From algorithms to systems.
Chen, Cheng-Yao.
Distributed multi-modal human activity analysis: From algorithms to systems.
- 232 p.
Source: Dissertation Abstracts International, Volume: 68-10, Section: B, page: .
Thesis (Ph.D.)--Princeton University, 2007.
Human activity analysis is one of the most important and challenging research fields of information technology. It has a significant impact on applications such as semantic multimedia indexing, human-machine interaction, and homeland security. This dissertation discusses the search for the most effective and efficient architecture for human activity analysis from both an algorithm and system perspective. The discussion starts from the most fundamental system setup that of single uni-modal sensor processing. Afterwards, to enhance the performance from single uni-modal sensor processing, two architectures are discussed, distributed uni-modal sensor processing and single multi-modal sensor processing. Distributed uni-modal sensor processing applies multiple uni-modal sensors in a network to increase the range of the sensing views, and to decrease the sensitivity to environmental changes. On the other hand, applying a single multi-modal sensor extends the scope of analysis by having more sensing modalities. Combining these two directions, a distributed multi-modal human activity analysis system is proposed. This architecture demonstrates a significant advantage in its effectiveness of human activity analysis. However, managing such a complicated system is challenging, so a dedicated monitoring framework is proposed at the end of this dissertation to resolve this system design issue. With the promising system proposed by this dissertation, human activity analysis can further advance to another level.
ISBN: 9780549285144Subjects--Topical Terms:
626636
Engineering, Electronics and Electrical.
Distributed multi-modal human activity analysis: From algorithms to systems.
LDR
:02288nam 2200241 a 45
001
942896
005
20110520
008
110520s2007 eng d
020
$a
9780549285144
035
$a
(UMI)AAI3286109
035
$a
AAI3286109
040
$a
UMI
$c
UMI
100
1
$a
Chen, Cheng-Yao.
$3
1266928
245
1 0
$a
Distributed multi-modal human activity analysis: From algorithms to systems.
300
$a
232 p.
500
$a
Source: Dissertation Abstracts International, Volume: 68-10, Section: B, page: .
502
$a
Thesis (Ph.D.)--Princeton University, 2007.
520
$a
Human activity analysis is one of the most important and challenging research fields of information technology. It has a significant impact on applications such as semantic multimedia indexing, human-machine interaction, and homeland security. This dissertation discusses the search for the most effective and efficient architecture for human activity analysis from both an algorithm and system perspective. The discussion starts from the most fundamental system setup that of single uni-modal sensor processing. Afterwards, to enhance the performance from single uni-modal sensor processing, two architectures are discussed, distributed uni-modal sensor processing and single multi-modal sensor processing. Distributed uni-modal sensor processing applies multiple uni-modal sensors in a network to increase the range of the sensing views, and to decrease the sensitivity to environmental changes. On the other hand, applying a single multi-modal sensor extends the scope of analysis by having more sensing modalities. Combining these two directions, a distributed multi-modal human activity analysis system is proposed. This architecture demonstrates a significant advantage in its effectiveness of human activity analysis. However, managing such a complicated system is challenging, so a dedicated monitoring framework is proposed at the end of this dissertation to resolve this system design issue. With the promising system proposed by this dissertation, human activity analysis can further advance to another level.
590
$a
School code: 0181.
650
4
$a
Engineering, Electronics and Electrical.
$3
626636
690
$a
0544
710
2 0
$a
Princeton University.
$3
645579
773
0
$t
Dissertation Abstracts International
$g
68-10B.
790
$a
0181
791
$a
Ph.D.
792
$a
2007
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3286109
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9112538
電子資源
11.線上閱覽_V
電子書
EB W9112538
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入