Abstract:
With the increase of recent terrorist and criminal activities, it is important to maintain
higher security measures in the aviation industry. To prevent any threats or potentially
dangerous situations from arising or entering the country it is critical to identify them
effectively at the earliest. There are numerous systems and mechanism have been developed over the recent
years, but most of them limited to the potential of identifying know terrorist and
criminals according to a predefined watch list. So the most efficient way of identifying suspicious passengers and events in real-time
is based on observing passengers’ behavior patterns and appearance patterns which is
known as Behaviour profiling technique. With the increase of passenger growth in the
aviation industry, more resources are needed to effectively identify these events. So this paper reveals an approach to develop an intelligent surveillance application
targeting the airport domain which can identify people who may pose a potential
threat by analyzing several appearance patterns and behavior patterns. Ultimately it
helps to strengthen the security, minimize the tasks of security officers and help them
see the ‘unseen’ and enhance the efficiency and the robustness of the process.
