Intelligent video surveillance system: 3-tier context-aware surveillance system with metadata

Yunyoung Nam, Seungmin Rho, Jong Hyuk Park

Research output: Contribution to journalArticlepeer-review

37 Scopus citations

Abstract

This paper presents an intelligent video surveillance system with the metadata rule for the exchange of analyzed information. We define the metadata rule for the exchange of analyzed information between intelligent video surveillance systems that automatically analyzes video data acquired from cameras. The metadata rule is to effectively index very large video surveillance databases and to unify searches and management between distributed or heterogeneous surveillance systems more efficiently. The system consists of low-level context-aware, high-level context-aware and intelligent services to generate metadata for the surveillance systems. Various contexts are acquired from physical sensors in monitoring areas for the low-level context-aware system. The situation is recognized in the high-level contextaware system by analyzing the context data collected in the low-level system. The system provides intelligent services to track moving objects in Fields OfView (FOVs) and to recognize human activities. Furthermore, the system supports real-time moving objects tracking with Panning, Tilting and Zooming (PTZ) cameras in overlapping and non-overlapping FOVs.

Original languageEnglish
Pages (from-to)315-334
Number of pages20
JournalMultimedia Tools and Applications
Volume57
Issue number2
DOIs
StatePublished - Mar 2012

Keywords

  • CCTV. Surveillance
  • Metadata
  • Object identification
  • Object localization
  • Object tracking
  • PTZ camera

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