Computer Vision based Surveillance System

Abstract

Abstract: Automated surveillance systems are surveillance systems that employ cameras to monitor the area. The observed setting is analyzed using motion detection, crowd behavior, individual behavior, and interactions between people, crowds, and their surroundings. These automated systems are capable of a wide range of tasks, including detection, interpretation, understanding, recording, and alert creation based on the results of the study. Researchers have been able to increase monitoring performance while limiting human errors by changing various features of these systems. This research looks into video surveillance systems and the components that go with them in depth. The designs that were used, as well as the most important studies in these systems, are presented. Existing surveillance systems were compared in terms of to provide a wider picture and a more holistic understanding of the system.