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This paper describes a real-time system for human detection, tracking and motion analysis. The system is an automated video surveillance system for detecting and monitoring people in both indoor and outdoor environments. Detection and tracking are achieved through several steps: First, we design a robust, adaptive background model that can deal with(More)
Physicians nowadays have to consider a diverse range of data sources when treating a patient. Semantic clinical data warehouses allow to easily add new data and to pro-actively help the physician making sense of the data. In this work-in-progress paper we investigate an approach of using Linked Data as the access mechanism and a graph database for storage(More)
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