With the recent rise in violent crime, the real-time situation analysis capabilities of the prevalent closed-circuit television have been employed for the deterrence and resolution of …
Video Surveillance (VS) systems are popular. For enhancing the safety of public lives as well as assets, it is utilized in public places like marketplaces, hospitals, streets, education …
Automatic anomaly activity detection is difficult in video surveillance applications due to variations in size, type, shape, and objects' location. The traditional anomaly detection and …
EA Mahareek, EK El-Sayed, NM El-Desouky… - 2023 - academia.edu
This paper presents a new method for anomaly detection in surveillance videos using deep learning. The proposed method is based on a deep network trained to identify objects and …
P Mangai, MK Geetha… - … Conference on Artificial …, 2022 - ieeexplore.ieee.org
Automatic video surveillance is an active research area in recent times to enhance security features. Based on the crowd behavior, the normal and abnormal scenarios can be detected …
The demand for surveillance networks is increasing universally on account of decreasing the faith in people. This leads to monitor the people during working, roaming, traveling, and …
Millions of security cameras were placed in public spaces, generating large quantities of video data. There is a need to develop smart techniques to identify and classify objects …
The identification of abnormal behavior has several applications. There are several ways, ranging from classical to deep learning based. It may be used to monitor campuses, banks …
Anomaly detection in video surveillance is a highly developed subject that is attracting increased attention from the research community. There is great demand for intelligent …