Flexible multi-level model for prediction of abnormal behavior

Abstract

In the recently, the Closed Circuit Television (CCTV) has been used to ensure the security and evidence for the crimes. However, the video captured from CCTV has being used in the postprocessing to apply to the evidence. The using pattern of CCTV shows a slight effect on the purpose of prevention a crime rather than prevention a pre-crime that occurs in practical situations. In this paper, we propose a Flexible Multi-Level model for estimating whether dangerous behavior risk by analyzing the behavior of the object using the data of the CCTV collected by pedestrian. The FML model consists of the three steps as follows; object filtering, situation analysis, and abnormal decision. The object filtering checks the environment and context for pedestrians. The situation analysis builds the knowledge for the pedestrians tracking. Finally, the decision step decides and notifies the threat situation when the behavior observed object is determined to abnormal behavior. It is possible to respond quickly before crime, which enables high-speed situations judgment. © 2015 ACM.