Modelling with Generalized Stochastic Petri Nets
Modelling with Generalized Stochastic Petri Nets
Actions and Events in Interval Temporal Logic
Actions and Events in Interval Temporal Logic
An Ontology for Video Event Representation
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 7 - Volume 07
Surveillance Event Interpretation Using Generalized Stochastic Petri Nets
WIAMIS '07 Proceedings of the Eight International Workshop on Image Analysis for Multimedia Interactive Services
CASEE: a hierarchical event representation for the analysis of videos
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Situation Recognition and Hypothesis Management Using Petri Nets
MDAI '09 Proceedings of the 6th International Conference on Modeling Decisions for Artificial Intelligence
Analysis of multi-agent activity using petri nets
Pattern Recognition
Event detection and recognition for semantic annotation of video
Multimedia Tools and Applications
Propagating uncertainty in Petri nets for activity recognition
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
Methodology for the development of executable system architecture
Proceedings of the 8th International Conference on Frontiers of Information Technology
A semantic-based probabilistic approach for real-time video event recognition
Computer Vision and Image Understanding
Hi-index | 0.01 |
Video event understanding requires a formalism that can model complex logical temporal and spatial relations between composing sub-events. In this paper we argue that the Petri-Net is such a formalism. We go on to define a methodology for constructing Petri-Net event models from semantic descriptions of events in two well known video event ontology standards, VERL and CASEE.