Automated Camera Monitoring System for Selective Areas of Interest

Abstract

Monitoring a number of security cameras by security guards suffers from a number of difficulties especially when the events to be watched for may take months to occur or a large number of cameras exist. Furthermore, finding and hiring people for such tasks is usually expensive. Therefore, there are immediate needs for automated surveillance systems that save money, work in a preventive way and do not miss what must be caught. In this study, we present a new algorithm for detecting motions in selected areas of interest. Although it depends on algorithms to detect scene cuts and camera breaks, but it is tailored to consider motions rather than camera breaks that usually never occurs in such surveillance video feed. The algorithm may be used in real-time by complete systems to continuously monitor surveillance video and alert security officers to suspicious events while there is still time to prevent the crime.