Abstract
For efficient wide area surveillance, smart cameras should provide large observed data and many intelligent analysis functions. In order to extend the surveillance area and overcome occlusion, integration of data from multiple cameras and post analysis of it are required. The surveillance data includes low level multimedia data, recognized feature data, event alarms and others. Integration of those data needs interaction between cameras. This paper presents the design of smart camera network and the distributed data management scheme such as data structuring, interchanging and deployment. An overwhelming amount of surveillance data is generated by smart cameras. The data contained in them if properly structured, integrated and analyzed, can induce useful context information. This work builds a hierarchical data deployment structure and exchange related data arriving to and from multiple smart cameras. Proactive data deploying provides the main concepts and properties to model a hierarchical data structure. Our simulation and implementation of the strategy shows efficiency and usefulness.
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