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

Human group activity recognition (GAR) has attracted significant attention from computer
vision researchers due to its wide practical applications in security surveillance, social role …

Group activity recognition, which aims to simultaneously understand individual action and
group activity in video clips, plays a fundamental role in computer vision and video analysis …

In this study, we address the problem of similar local motions that create confusion within
different group activities. To reduce the influences of motions, we propose a discriminative …

This paper introduces a Surveillance Video Analysis System, called SVAS, for surveillance
domain, in which the semantic rules and the definition of event models can be learned or …

We present a review on the current state of publicly available datasets within the human
action recognition community; highlighting the revival of pose based methods and recent …

In this paper, we address the problem of recognizing group activities of human objects
based on their motion trajectory analysis. In order to resolve the complexity and ambiguity …

Human group activity recognition has drawn the attention of researchers worldwide because
of the significant role it plays in many applications, including video surveillance and public …

The recognition of group activities using computer vision and pattern recognition methods
has been, and still remains, a challenging problem. Most of the research on human …

Many videos depict people, and it is their interactions that inform us of their activities, relation
to one another and the cultural and social setting. With advances in human action …