Event detection for video surveillance using an expert system
AREA '08 Proceedings of the 1st ACM workshop on Analysis and retrieval of events/actions and workflows in video streams
A cognitive surveillance system for detecting incorrect traffic behaviors
Expert Systems with Applications: An International Journal
Semantic retrieval of events from indoor surveillance video databases
Pattern Recognition Letters
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 for intelligent car park video surveillance
Real-Time Imaging
A task-driven intelligent workspace system to provide guidance feedback
Computer Vision and Image Understanding
MetroSurv: detecting events in subway stations
Multimedia Tools and Applications
Human activity analysis: A review
ACM Computing Surveys (CSUR)
A video surveillance method based on information granularity
EE'07 Proceedings of the 2nd IASME/WSEAS international conference on Energy and environment
Monitoring of Medication Intake Using a Camera System
Journal of Medical Systems
A comprehensive study of visual event computing
Multimedia Tools and Applications
Key frame-based activity representation using antieigenvalues
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
A semantic-based probabilistic approach for real-time video event recognition
Computer Vision and Image Understanding
A fuzzy spatio-temporal-based approach for activity recognition
ER'12 Proceedings of the 2012 international conference on Advances in Conceptual Modeling
Hi-index | 0.00 |
Detection of events is an essential task in surveillance applications. This task requires finding a general event representation method and developing efficient recognition algorithms dealing with this representation. In this paper, we describe an interactive system for querying surveillance video about events. The queries may not be known in advance and have to be composed from primitive events and previously defined queries. We propose using Petri nets as both representation and recognition methods. The Petri net representation for users' queries is derived automatically from simpler event nets. Recognition is then performed by tokens moving through the Petri nets.