Crowd tracking and analysis of crowd behavior is a challenging research area in computer
vision. In today's crowded environment manual surveillance systems are inefficient, labor …

There are many problems that procedural algorithms can solve efficiently. However, these
algorithms are sometimes too slow to abide by the time available for performing the solution; …

This work presents a novel real-time detection instance segmentation and tracking approach
for soccer videos. Unlike conventional methods we augment video frames by incorporating …

With the coronavirus (COVID-19) pandemic continuing to spread around the globe, there is
an unprecedented need to develop different approaches to containing the pandemic from …

Annually, a huge number of pilgrims visit Mecca to perform Al Hajj ritual. Crowd
management is critical in this occasion in order to avoid crowd disasters (eg, stampede and …

Many consequences can be resulted in mismanagement of crowd, which might get people
injured or even lose their lives. Thus, crowd management helps in controlling overcrowded …

Although ordinary human mobility has been extensively studied, anomalous human mobility
during emergencies or mass events is not sufficiently understood. The recently proposed …

Crowd monitoring involves tracking and analyzing the behavior of large groups of people in
large-scale public spaces, such as sports games. In sports stadiums, understanding …

In potential disasters, real world scenarios and public events, understanding of crowd
psychology is a challenging process and detection of crowd behaviors in those events is …

With the increasing global adoption of COVID-19 vaccines, limitations on mass gathering
events have started to gradually loosen. However, the large vaccine inequality recorded …