Human activity recognition has attracted enormous research interest thanks to its
fundamental importance in several domains spanning from health-care to security, safety …

Human activity recognition is essential in many domains, including the medical and smart
home sectors. Using deep learning, we conduct a comprehensive survey of current state …

The scientific study of networks-computer, social, and biological-has received an enormous
amount of interest in recent years. However, the network approach has been applied to the …

Many computational tools for the simulation and design of emergency evacuation and
egress are now available. However, due to the scarcity of human and social behavioral data …

Simulating the motion of realistic, large, dense crowds of autonomous agents is still a
challenge for the computer graphics community. Typical approaches either resemble …

Research into the methods and techniques used in simulating crowds has developed
extensively within the last few years, particularly in the areas of video games and film …

This paper addresses the problem of virtual pedestrian autonomous navigation for crowd
simulation. It describes a method for solving interactions between pedestrians and avoiding …

There are many applications of computer animation and simulation where it is necessary to
model virtual crowds of autonomous agents. Some of these applications include site …

The navigation activity is an every day practice for any human being capable of locomotion.
Our objective in this work is to reproduce this crucial human activity inside virtual …

Grouping is a common phenomenon in pedestrian crowds and plays important roles in
affecting crowd behavior. Group modeling is still an open challenging problem and has not …