The spread of Unmanned Aerial Vehicles (UAVs) in the last decade revolutionized many
applications fields. Most investigated research topics focus on increasing autonomy during …

Traditional handcrafted crowd-counting techniques in an image are currently transformed
via machine-learning and artificial-intelligence techniques into intelligent crowd-counting …

For object detection, how to address the contradictory requirement between feature map
resolution and receptive field on high-resolution inputs still remains an open question. In this …

Crowd estimation is a very challenging problem. The most recent study tries to exploit
auditory information to aid the visual models, however, the performance is limited due to the …

Crowd counting in high density crowds has significant importance in crowd safety and crowd
management. Existing state-of-the-art methods employ regression models to count the …

Counting and localization of people in videos consisting of low density to high density
crowds encounter many key challenges including complex backgrounds, scale variations …

Gathering a large number of people in a shared physical area is very common in urban
culture. Although there are limitless examples of mega crowds, the Islamic religious ritual …

A thorough understanding of how urban space characteristics, such as urban equipment or
network topology, affect people's density in urban spaces is essential to well-informed urban …

This article addresses the usage and scope of Big Data Analytics in video surveillance and
its potential application areas. The current age of technology provides the users, ample …

Crowd management and monitoring is crucial for maintaining public safety and is an
important research topic. Developing a robust crowd monitoring system (CMS) is a …