Abstract
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.
Highlights
Various papers in the literature have been proposed and focused on computer vision problems in the context of multi-camera surveillance systems
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
Conventional video surveillance systems have difficulty in tracking a great number of people located at different positions at the same time and tracking those people automatically
Summary
Various papers in the literature have been proposed and focused on computer vision problems in the context of multi-camera surveillance systems. Conventional video surveillance systems have difficulty in tracking a great number of people located at different positions at the same time and tracking those people automatically. In another case, the number of possible targeted people is limited by the extent of users’ involvement in manually switching the view from one video camera to another. Many of the proposed video surveillance systems are expensive and lack the capability of cognitive monitoring system such as no image analysis This makes the system lack the ability to send warning signal autonomously in real-time and before the incidents happen.
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