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

  • Authors:

  • Yunyoung Nam;Seungmin Rho;Jong Hyuk Park

  • Affiliations:

  • Center of Excellence for Ubiquitous System, Ajou University, Suwon, South Korea;School of Electrical Engineering, Korea University, Seoul, South Korea;Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, South Korea

  • Venue:
  • Multimedia Tools and Applications
  • Year:
  • 2012

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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 context-aware system by analyzing the context data collected in the low-level system. The system provides intelligent services to track moving objects in Fields Of View (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.