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Understanding images of graphical us...

Yu, Li.

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Understanding images of graphical user interfaces (UI-GUI).

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Understanding images of graphical user interfaces (UI-GUI)./
作者:	Yu, Li.
面頁冊數:	170 p.
附註:	Source: Dissertation Abstracts International, Volume: 65-09, Section: B, page: 4685.
Contained By:	Dissertation Abstracts International65-09B.
標題:	Computer Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3147335
ISBN:	0496059831

Understanding images of graphical user interfaces (UI-GUI).
Yu, Li.

Understanding images of graphical user interfaces (UI-GUI). - 170 p.

Source: Dissertation Abstracts International, Volume: 65-09, Section: B, page: 4685.

Thesis (Ph.D.)--Lehigh University, 2004.

A fundamental problem in surveillance systems is the specification of "activities of interest". While various activity recognition systems have been developed, they have used complex hand-coded representations. What is of interest to a particular surveillance system user can vary greatly, and the security forces using the system are not, in general, advanced computer users.

ISBN: 0496059831Subjects--Topical Terms:

626642
Computer Science.

Understanding images of graphical user interfaces (UI-GUI).
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520 $a A fundamental problem in surveillance systems is the specification of "activities of interest". While various activity recognition systems have been developed, they have used complex hand-coded representations. What is of interest to a particular surveillance system user can vary greatly, and the security forces using the system are not, in general, advanced computer users.
520 $a This paper presents a novel paradigm for specifying and recognizing activities in a surveillance system by visualizing tracking results, and using computer vision techniques to interpret the images presented by their Graphical User Interfaces [Yu 2003]. Representation of activities of interest can be easily drawn by users. Not only is the drawing-based specification of activities of interest easier than previous approaches, but when a "rule" fires, it is easy to explain "why", by showing the operator the associated drawings [Yu 2004]. This approach also permits a new type of system integration, where we integrate the "display" of sensors rather than trying to develop a complex communication protocol. A user study is reviewed showing the proposed approach is thousands of time faster than HMMs for event definition while it is simultaneously more accurate in event recognition.
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