Modeling Quality of Information in Multi-sensor Surveillance Systems

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.