Paper Info
Title
Representation and Recognition of Events in Surveillance Video Using Petri Nets
Abstract
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.
Year
DOI
Venue
2004
10.1109/CVPR.2004.156
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 7 - Volume 07
Keywords
Field
DocType
petri nets,general event representation method,petri net,recognition method,interactive system,surveillance application,surveillance video,querying surveillance video,essential task,efficient recognition,simpler event net,primitive event,mathematical model,ontologies,computer vision,computer science,stochastic processes
Ontology (information science),Petri net,Computer science,Stochastic process,Process architecture,Artificial intelligence,Recognition algorithm,Machine learning
Conference
ISBN
Citations 
PageRank 
0-7695-2158-4
58
2.89
References 
Authors
17
4
Name
Order
Citations
PageRank
Nagia M. Ghanem1958.18
Daniel Dementhon21327139.94
David Doermann34313312.70
Larry S. Davis4142012690.83