Anomaly detection is concerned with identifying data patterns that deviate remarkably from
the expected behavior. This is an important research problem, due to its broad set of …

As the security threat and crime rate have been increased all over the globe, the video
surveillance system using closed-circuit television (CCTV) has become an essential tool for …

Smart surveillance systems are used to monitor specific areas, such as homes, buildings,
and borders, and these systems can effectively detect any threats. In this work, we …

In this paper, we propose a deep residual dense network (DRDN) for single image super-
resolution. Based on human perceptual characteristics, the residual in residual dense block …

Anomalous situations in surveillance videos or images that may result in security issues,
such as disasters, accidents, crime, violence, or terrorism, can be identified through video …

During Covid-19 pandemic, face masks have become a ubiquitous protective measure. This
poses new challenges for surveillance systems that heavily rely on facial recognition. To …

In order to maintain crowd control and assure safety, contemporary security systems require
effective monitoring tools for sensitive and high-traffic locations. In particular, headcount …

In the aftermath of the Covid-19 pandemic, wearing face masks has become a widespread
precautionary measure, presenting new challenges for surveillance systems. To tackle this …

ABSTRACT A persistent, precise, and adaptive security application is a requisite component
to an effective force protection condition (FPCON) as US military installations have become …

Image super-resolution aims to reconstruct the visually pleasing high-resolution (HR) image
from the degraded version or low-resolution (LR) ones. Under the remarkable improvement …