This paper addresses the problem of head detection in crowded environments. Our
detection is based entirely on the geometric consistency across cameras with overlapping …

In this research study we adopt a probabilistic modelling of interactions in groups of people,
using video sequences, leading to the recognition of their activities. Firstly, we model short …

In this research study, we propose an automatic group activity recognition approach by
modelling the interdependencies of group activity features over time. Unlike in simple …

With the unprecedented sensing capabilities and the emergence of Internet of things,
studies on activity recognition have been hot issues for different application areas, such as …

Early intervention in mental disorders can dramatically increase an individual's quality of life.
Additionally, when symptoms of mental illness appear in childhood or adolescence, they …

The detection of groups of individuals is attracting the attention of many researchers in
diverse fields, from automated surveillance to human-computer interaction, with a growing …

In this research study, we model the interdependency of actions performed by people in a
group in order to identify their activity. Unlike single human activity recognition, in interacting …

Group behaviour characterisation is a topic not so well studied in the video surveillance
community due to its difficulty and large variety of topics involved, but mainly because the …

Balancing safety, efficiency and social norms when robots navigate in crowded situations is
a major challenge, as human intentions are variable and unpredictable. Previous research …

We aim at designing interactive playgrounds that automatically analyze the behavior of
children while playing games, in order to adapt the gameplay and make the games more …