A Fuzzy Spatio-Temporal-based Approach for Activity Recognition

Jean-Marie Le Yaouanc (1) , Jean-Philippe Poli (1)

1 CEA - Commissariat à l'énergie atomique et aux énergies alternatives

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.

Mots clés: Spatio-temporal data modeling; Automatic activity recognition; Semantic trajectories; Fuzzy logic

Domaines: Modélisation et simulation

Jean-Marie Le Yaouanc, Jean-Philippe Poli. A Fuzzy Spatio-Temporal-based Approach for Activity Recognition. International Workshop on Semantic and Conceptual Issues in GIS (SeCoGIS 2012), Oct 2012, Florence, Italy. pp.314--324. ⟨hal-00739277⟩