Suspicious human activity recognition from surveillance video is an active research area of
image processing and computer vision. Through the visual surveillance, human activities …

Derived from rapid advances in computer vision and machine learning, video analysis tasks
have been moving from inferring the present state to predicting the future state. Vision-based …

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 …

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

Group activity recognition is the task of understanding the activity conducted by a group of
people as a whole in a multi-person video. Existing models for this task are often impractical …

Group activity recognition plays a fundamental role in a variety of applications, eg sports
video analysis and intelligent surveillance. How to model the spatio-temporal contextual …

This paper discusses the problem of recognizing interaction-level human activities from a
first-person viewpoint. The goal is to enable an observer (eg, a robot or a wearable camera) …

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 hierarchical model for human activity recognition in entire multi-person
scenes. Our model describes human behaviour at multiple levels of detail, ranging from low …

With the advent of drones, aerial video analysis becomes increasingly important; yet, it has
received scant attention in the literature. This paper addresses a new problem of parsing low …