Abnormal Crowd Detection and Tracking in Surveillance Video Sequences

Abstract: We have proposed a method for abnormal crowd detection and tracking in this paper. Automated analysis of crowd activities using surveillance videos is an important issue for communal security, as it allows detection of dangerous crowds and where they are headed. Public places such as shopping centres and airports are monitored using closed circuit television in order to ensure normal operating conditions. Computer vision based crowd analysis algorithm can be divided into three groups; people counting, people tracking and crowd behaviour analysis. In this paper the behaviour understanding will be used for crowd behaviour analysis. The purpose of these methods could lead to a better understanding of crowd activities, improved design of the built environment and increased pedestrian safety. The experimental results show that the proposed method achieves good accuracy

Keywords: Background Modeling, Video Surveillance, Abnormal Crowd Detection, Crowd Tracking, Motion Analysis