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

In the last decades, given the necessity of assisting fragile citizens, of which elderly
represent a significant portion, a considerable research effort has been devoted to the use of …

Humans navigate crowded spaces such as a university campus by following common sense
rules based on social etiquette. In this paper, we argue that in order to enable the design of …

Recently, skeleton based action recognition gains more popularity due to cost-effective
depth sensors coupled with real-time skeleton estimation algorithms. Traditional approaches …

Being able to detect and recognize human activities is essential for several applications,
including personal assistive robotics. In this paper, we perform detection and recognition of …

Rich semantic relations are important in a variety of visual recognition problems. As a
concrete example, group activity recognition involves the interactions and relative spatial …

This paper presents a method for the detection and recognition of social interactions in a day-
long first-person video of u social event, like a trip to an amusement park. The location and …

We present a coherent, discriminative framework for simultaneously tracking multiple people
and estimating their collective activities. Instead of treating the two problems separately, our …

In this paper, we go beyond recognizing the actions of individuals and focus on group
activities. This is motivated from the observation that human actions are rarely performed in …

We present a distributed representation of pose and appearance of people called the
“poselet activation vector”. First we show that this representation can be used to estimate the …