DocumentCode :
2357076
Title :
Modeling Quality of Information in Multi-sensor Surveillance Systems
Author :
Hossain, M. Anwar ; Atrey, Pradeep K. ; El Saddik, Abdulmotaleb
Author_Institution :
Ottawa Univ., Ottawa
fYear :
2007
fDate :
17-20 April 2007
Firstpage :
11
Lastpage :
18
Abstract :
Current surveillance systems use multiple sensors and media processing techniques in order to record/detect information of interest in terms of events. Assessing the quality of information (QoI) of a surveillance system is an important task as any misleading information may lead to suspicion, undesired consequences, and unwanted invasion of privacy. In this paper, we propose a model to characterize Qol in multi-sensor surveillance systems in terms of four quality parameters, which are: accuracy, certainty, timeliness and integrity. The proposed model is extendable to include other quality parameters if deemed necessary for different task-specific scenarios, such as the ambient intelligence environment. which aims to provide context-aware personalized services to the people living in that environment. To demonstrate the utility of the proposed method, we provide experimental results in a surveillance system designed for identifying authorized entry in the observation area.
Keywords :
sensor fusion; video surveillance; information modeling quality; invasion of privacy; media processing techniques; multisensor surveillance systems; quality of information; Aggregates; Ambient intelligence; Context modeling; Event detection; Multimedia communication; Multimedia systems; Q factor; Sensor systems; Streaming media; Surveillance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering Workshop, 2007 IEEE 23rd International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-0832-0
Electronic_ISBN :
978-1-4244-0832-0
Type :
conf
DOI :
10.1109/ICDEW.2007.4400968
Filename :
4400968
Link To Document :
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