Detecting Abnormal Events in University Areas

this paper presents a distinct video surveillance system which took place in the Lebanese International University Saida- Campus., which is considered as a very crowded environment., and reveals if there is an unusual event. Our main target is to apply simple procedures that will be present as a future”s benchmark. The work is split into three major parts., starting by dividing the video frame into zones., then to compute the magnitude of optical flow in each., and finally to analyze these data and classify it., based on a logical threshold., as normal or abnormal events. We implement our results based on Histogram of Magnitudes for each zone (HOM) and the outcome met our expectations.