Video surveillance system is the most important issue in homeland
security field. It is used as a security system because of its ability to track
and to detect a particular person. To overcome the lack of the conventional
video surveillance system that is based on human perception, we introduce a
novel cognitive video surveillance system (CVS) that is based on mobile agents.
CVS offers important attributes such as suspect objects detection and smart
camera cooperation for people tracking. According to many studies, an
agent-based approach is appropriate for distributed systems, since mobile
agents can transfer copies of themselves to other servers in the system.