Maintaining knowledge about temporal intervals
Communications of the ACM
Fiat and Bona Fide Boundaries: Towards on Ontology of Spatially Extended Objects
COSIT '97 Proceedings of the International Conference on Spatial Information Theory: A Theoretical Basis for GIS
Representation and Recognition of Events in Surveillance Video Using Petri Nets
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 7 - Volume 07
Fuzzy spatial relation ontology for image interpretation
Fuzzy Sets and Systems
Representing moving objects in computer-based expert systems: the overtake event example
Expert Systems with Applications: An International Journal
Rule-Based Video Interpretation Framework: Application to Automated Surveillance
ICIG '09 Proceedings of the 2009 Fifth International Conference on Image and Graphics
MetroSurv: detecting events in subway stations
Multimedia Tools and Applications
Interpreting motion events of pairs of moving objects
Geoinformatica
Fuzzifying Allen's Temporal Interval Relations
IEEE Transactions on Fuzzy Systems
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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.