Visual recognition of crowd dynamics has had a huge impact on several applications
including surveillance, situation awareness, homeland security and intelligent environments …

Résumé Evidence has shown that student's attention is a crucial factor for engagement and
learning gain. Although it can be accurately assessed ad-hoc by an experienced teacher …

Monitoring and inferring socio-cognitive behaviors through crowd analysis can help us to
understand many processes. Be it people in crowded environments, road traffic or even a …

Résumé Two essential elements of classroom lecturing are the teacher and the students.
This human core can easily be lost in the overwhelming list of technological supplements …

Should we judge the quality of the class by the grades the students and teacher get at the
end of the semester or how the group collaborated during the semester towards acquiring …

Personal data is increasingly used to augment decision-making and to build digital services,
often through machine learning technologies, model-building tools which recognise and …

Although crowd analysis is a classical and extensively studied problem for the computer
vision community, the vast majority of the works in the literature assume a single type of …

Capturing and understanding crowd dynamics is an important issue under diverse
perspectives. From social, psychological, and political sciences to safety management …

Highlights in a sport video are usually referred as actions that stimulate excitement or attract
attention of the audience. A big effort is spent in designing techniques which find …

Descriptors are important for quantifying crowd behavior. The existing descriptors generally
provide information about crowd density, ie, number of people/objects present in a defined …