Visual lifelogging consists of acquiring images that capture the daily experiences of the user
by wearing a camera over a long period of time. The pictures taken offer considerable …

One of the main and most effective measures to contain the recent viral outbreak is the
maintenance of the so-called Social Distancing (SD). To comply with this constraint …

We present PANDA, the first gigaPixel-level humAN-centric viDeo dAtaset, for large-scale,
long-term, and multi-object visual analysis. The videos in PANDA were captured by a …

We present a novel approach for detecting social interactions in a crowded scene by
employing solely visual cues. The detection of social interactions in unconstrained scenarios …

Studying free-standing conversational groups (FCGs) in unstructured social settings (eg,
cocktail party) is gratifying due to the wealth of information available at the group (mining …

The analysis of human activities is one of the most intriguing and important open issues for
the automated video surveillance community. Since few years ago, it has been handled …

We present a new research task and a dataset to understand human social interactions via
computational methods, to ultimately endow machines with the ability to encode and decode …

Detection of groups of interacting people is a very interesting and useful task in many
modern technologies, with application fields spanning from video-surveillance to social …

Interactive playgrounds are technology-enhanced installations that aim to provide rich game
experiences for children by combining the benefits of traditional playgrounds with those of …

We present an unsupervised approach for the automatic detection of static interactive
groups. The approach builds upon a novel multi-scale Hough voting policy, which …