Crime prediction in video-surveillance systems is required to prevent incident and protect
assets. In this sense, our article proposes first artificial intelligence approach for Robbery …

Human Suspicious Activity Recognition (HSAR) is a critical and active research area in
computer vision that relies on artificial intelligence reasoning. Significant advances have …

Sleep posture surveillance is crucial for patient comfort, yet current systems face difficulties
in providing comprehensive studies due to the obstruction caused by blankets. Precise …

This proposed framework aims to mitigate global terrorist threats, suspicious activities, and
legal violations by introducing an innovative system that monitors encrypted short-text …

In recent years, with the development of technological infrastructure and the use of tech
products, internet usage has become widespread globally. Significant advancements have …

Ensuring public safety and security is of paramount importance in today's world, and the
need for effective human suspicious activity detection in surveillance videos has never been …

As a public infrastructure service, remote sensing data provided by smart cities will go deep
into the safety field and realize the comprehensive improvement of urban management and …

With the proliferation of urban video surveillance systems, the abundance of surveillance
video data has emerged as a pivotal asset for enhancing public safety. Within these video …

In recent years, Closed-circuit Television (CCTV) cameras have been playing a vital role in
the surveillance of both public and private areas. The primary objective of surveillance is to …

This research presents an efficient approach to improve real-time video surveillance by
integrating Attention Mechanisms (AM) within the deep learning model. The study aims to …