Increasing The Security At Vital Infrastructures: Automated Detection Of Deviant Behaviors

This paper discusses the decomposition of hostile intentions into abnormal behaviors. A list of such behaviors has been compiled for the specific case of public transport. Some of the deviant behaviors are hard to observe by people, as they are in the midst of the crowd. Examples are deviant walking patterns, prohibited actions such as taking photos and waiting without taking the train. We discuss our visual analytics algorithms and demonstrate them on CCTV footage from the Amsterdam train station.