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• W156989751 abstract "Over the last decade, there has been a significant deployment of systems dedicated to surveillance. These systems make use of real-time sensors that generate continuous streams of data. Despite their success in many cases, the increased number of sensors leads to a cognitive overload for the operator in charge of their analysis. However, the context and the application requires an ability to react in real-time. The research presented in this paper introduces a spatio-temporal-based approach the objective of which is to provide a qualitative interpretation of the behavior of an entity (e.g., a human or vehicle). The process is formally supported by a fuzzy logic-based approach, and designed in order to be as generic as possible." @default.
• W156989751 created "2016-06-24" @default.
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• W156989751 date "2012-01-01" @default.
• W156989751 modified "2023-09-25" @default.
• W156989751 title "A Fuzzy Spatio-temporal-Based Approach for Activity Recognition" @default.
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• W156989751 doi "https://doi.org/10.1007/978-3-642-33999-8_37" @default.
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