The variable time-dependent densities in crowd motion and several occlusions in real
scenarios make the task of spotting anomalies very laborious. Also, an anomalous entity can …

Bullying and cyberbullying are harmful social phenomena that involve the intentional,
repeated use of power to intimidate or harm others. The ramifications of these actions are felt …

Anomaly detection in crowd analysis refers to the ability to detect events and people's
behaviours that deviate from normality. Anomaly detection techniques are developed to …

In today's world, the exponential growth of the worldwide population has caused a
considerable increase in crowd densities in places like rallies, public speeches, stadiums …

Crowd behavior prediction (CBP) and crowd counting (CC) are the essential functions of
vision-based crowd analysis (CA), which play a crucial role in controlling crowd disasters …

We present here the main research topics and activities on the design, security, safety, and
robustness of machine learning models developed at the Pattern Recognition and …

Many computer vision applications require real-time processing speeds, which prevents
them from running an object detector on all frames of the sequence. In such circumstances, it …

Bullying and cyberbullying are phenomena which, due to their growing diffusion, have
become a real social emergency. In this context, artificial intelligence can be a powerful …

Anomaly detection in crowd analysis refers to the ability to detect events and people's
behaviours that deviate from normality. Anomaly detection techniques are developed to …