With the popularity of video surveillance technology, people are paying more and more
attention to how to detect abnormal states or events in videos in time. Therefore, real-time …

Deep learning models have been widely used for anomaly detection in surveillance videos.
Typical models are equipped with the capability to reconstruct normal videos and evaluate …

Video anomaly detection is a challenging task because of the uncertainty of abnormal
events. The current method based on predictive frames has obtained better detection results …

An automated teller machine is an electronics telecommunications device which is utilized
by people, mostly to withdraw money. In the present scenario, a fair amount of the …

Capsule Networks (CapsNets) are recently introduced to overcome some of the
shortcomings of traditional Convolutional Neural Networks (CNNs). CapsNets replace …

In this paper, we propose a novel abnormal event detection scheme for video surveillance
systems using an unsupervised learning process. Our contribution includes intra and inter …

Man overboard incidents in a maritime vessel are serious accidents where, the efficient and
rapid detection is crucial in the recovery of the victim. The severity of such accidents, urge …

Man overboard incidents in a maritime vessel are serious accidents where the rapid
detection of the even is crucial for the safe retrieval of the person. To this end, the use of …

Abstract Automated Teller Machine (ATM) is one of the major standard and feasible methods
for making any financial transactions and is continuously increasing due to its convenience …