Multi-agent framework in visual sensor networks

  • Authors:
  • M. A. Patricio;J. Carbó;O. Pérez;J. García;J. M. Molina

  • Affiliations:
  • Grupo de Inteligencia Artificial Aplicada, Departamento de Informática, Universidad Carlos III de Madrid, Colmenarejo, Madrid, Spain;Grupo de Inteligencia Artificial Aplicada, Departamento de Informática, Universidad Carlos III de Madrid, Colmenarejo, Madrid, Spain;Grupo de Inteligencia Artificial Aplicada, Departamento de Informática, Universidad Carlos III de Madrid, Colmenarejo, Madrid, Spain;Grupo de Inteligencia Artificial Aplicada, Departamento de Informática, Universidad Carlos III de Madrid, Colmenarejo, Madrid, Spain;Grupo de Inteligencia Artificial Aplicada, Departamento de Informática, Universidad Carlos III de Madrid, Colmenarejo, Madrid, Spain

  • Venue:
  • EURASIP Journal on Applied Signal Processing
  • Year:
  • 2007

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Abstract

The recent interest in the surveillance of public, military, and commercial scenarios is increasing the need to develop and deploy intelligent and/or automated distributed visual surveillance systems. Many applications based on distributed resources use the so-called software agent technology. In this paper, a multi-agent framework is applied to coordinate videocamera-based surveillance. The ability to coordinate agents improves the global image and task distribution efficiency. In our proposal, a software agent is embedded in each camera and controls the capture parameters. Then coordination is based on the exchange of high-level messages among agents. Agents use an internal symbolic model to interpret the current situation from the messages from all other agents to improve global coordination.