Representation and recognition of events in surveillance video using petri nets

Nagia Ghanem; Daniel DeMenthon; David Doermann; Larry Davis

doi:10.1109/CVPR.2004.430

Representation and recognition of events in surveillance video using petri nets

Nagia Ghanem
, Daniel DeMenthon
, David Doermann
, Larry Davis

Department of Computer Science and Engineering

University of Maryland, College Park

Research output: Contribution to journal › Conference article › peer-review

77 Scopus citations

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.

Original language	English
Article number	1384907
Journal	IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Volume	2004-January
Issue number	January
DOIs	https://doi.org/10.1109/CVPR.2004.430
State	Published - 2004
Event	2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2004 - Washington, United States Duration: Jun 27 2004 → Jul 2 2004

Access to Document

10.1109/CVPR.2004.430

Cite this

@article{83060ae90a80417290934007bbc778e6,

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.",

author = "Nagia Ghanem and Daniel DeMenthon and David Doermann and Larry Davis",

note = "Publisher Copyright: {\textcopyright} 2004 IEEE.; 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2004 ; Conference date: 27-06-2004 Through 02-07-2004",

year = "2004",

doi = "10.1109/CVPR.2004.430",

language = "English",

volume = "2004-January",

journal = "IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops",

issn = "2160-7508",

publisher = "IEEE Computer Society",

number = "January",

}

TY - JOUR

T1 - Representation and recognition of events in surveillance video using petri nets

AU - Ghanem, Nagia

AU - DeMenthon, Daniel

AU - Doermann, David

AU - Davis, Larry

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/84932645954

U2 - 10.1109/CVPR.2004.430

DO - 10.1109/CVPR.2004.430

M3 - Conference article

AN - SCOPUS:84932645954

SN - 2160-7508

VL - 2004-January

JO - IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

JF - IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

IS - January

M1 - 1384907

T2 - 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2004

Y2 - 27 June 2004 through 2 July 2004

ER -

Representation and recognition of events in surveillance video using petri nets

Abstract

Access to Document

Other files and links

Fingerprint

Cite this