Abstract Internet of Medical Things (IoMT) refers to applying Internet of Things (IoT) into the
medical field. The IoMT enables a medical system to connect various smart devices, such as …

With the widespread use of closed-circuit television (CCTV) surveillance systems in public
areas, crowd anomaly detection has become an increasingly critical aspect of the intelligent …

Background and motivation: Every year, millions of Muslims worldwide come to Mecca to
perform the Hajj. In order to maintain the security of the pilgrims, the Saudi government has …

Real time crowd analysis represents an active area of research within the computer vision
community in general and scene analysis in particular. Over the last 10 years, various …

Crowd counting is an active research area within scene analysis. Over the last 20 years,
researchers proposed various algorithms for crowd counting in real-time scenarios due to …

Crowd monitoring and analysis has become increasingly used for unmanned aerial vehicle
applications. From preventing stampede in high concentration crowds to estimating crowd …

In many places today, the world's overcrowding causes crowded conditions. Analysis of
crowd activity is a develo** field of study. It is common knowledge that mob activity can …

Intelligent identification of abnormal behaviors in crowd scenes enables far more efficient
development of smart cities. In recent approaches, abnormalities are detected using an …

Indoor device-free localization (DFL) systems are used in various Internet-of-Things
applications based on human behavior recognition. However, the usage of camera-based …

Crowd management has attracted serious attention under the prevailing pandemic
conditions of COVID-19, emphasizing that sick persons do not become a source of virus …