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Mining tool for surveillance video

  • University of Maryland, College Park

Research output: Contribution to journalConference articlepeer-review

10 Scopus citations

Abstract

This paper describes a system for the mining of surveillance video. Our main contributions are: providing a high level query language for submitting queries about spatial and temporal relations of background regions and moving entities, and about human activities; providing a compiler to map high level queries into a set of novel Petri net niters that utilize computer vision algorithms to answer components of the queries; and providing a powerful graphical interface where users have the ability to formulate the query visually.

Original languageEnglish
Pages (from-to)259-270
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5307
DOIs
StatePublished - 2004
EventStorage and Retrieval Methods and Applications for Multimedia 2004 - San Jose, CA, United States
Duration: Jan 20 2004Jan 22 2004

Keywords

  • Human activities
  • Petri nets
  • Spatial temporal relations
  • Video query
  • Video surveillance

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