Open AccessReview on Camera based Surveillance Systems
Author(s) -
Mrs. Naziya Farhat,
Mohammad Nasiruddin
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.40882
Subject(s) - crowds , computer science , human–computer interaction , motion detection , real time computing , artificial intelligence , computer vision , computer security , motion (physics)
Surveillance systems that use cameras to monitor the environment are known as automated surveillance systems. Motion detection, crowd behavior, individual behavior, and interactions between persons, crowds, and their surrounding environment are all used to analyses the observed scenario. These automated systems perform a wide range of functions, including detection, interpretation, comprehension, recording, and the generation of alarms based on the analysis. By manipulating various elements of these systems, researchers have been able to improve monitoring performance while minimizing possible human failings. This study provides a thorough examination of such video surveillance systems and the components that go with them. The architectures that were employed are described, along with the most important analyses in these systems. Existing surveillance systems were compared in terms of to provide a wider picture and a more holistic understanding of the system.