Fusion of Surveillance Information for Visual Sensor Networks

The growing interest in surveillance in public, military and commercial scenarios is increasing the need to create intelligent or automated distributed visual surveillance systems. Many applications based on distributed resources use the software agent paradigm. In this work, a multi-agent framework is applied to coordinate an indoor-surveillance system based on video cameras. The capacity of coordination will allow the improvement of the global image and the effectiveness of the task distribution. Software agents are embedded in each camera and control the capture parameters. The multi-agent framework allows the coordination of the acquisition procedure based on high level messages and the fusion of information among agents. The agent paradigm uses the internal interpretation of the situation from each agent to improve the global coordination