A Fuzzy Spatio-Temporal-based Approach for Activity RecognitionReport as inadecuate

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* Corresponding author 1 CEA - Commissariat à l-Energie Atomique et aux Energies Alternatives.

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.

Keywords : Spatio-temporal data modeling Automatic activity recognition Semantic trajectories Fuzzy logic

Author: Jean-Marie Le Yaouanc - Jean-Philippe Poli -

Source: https://hal.archives-ouvertes.fr/


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