Activity recognition systems are a large field of research and development, currently with a
focus on advanced machine learning algorithms, innovations in the field of hardware …

Movement dataset reviews exist but are limited in coverage, both in terms of size and
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …

The concept of event processing is established as a generic computational paradigm in
various application fields. Events report on state changes of a system and its environment …

Early prediction of ongoing human activity has become more valuable in a large variety of
time-critical applications. To build an effective representation for prediction, human activities …

A key challenge in complex activity recognition is the fact that a complex activity can often be
performed in several different ways, with each consisting of its own configuration of atomic …

Real-world videos of human activities exhibit temporal structure at various scales; long
videos are typically composed out of multiple action instances, where each instance is itself …

A considerable portion of web images capture events that occur in our personal lives or
social activities. In this paper, we aim to develop an effective method for recognizing events …

This paper addresses the problem of recognizing and localizing coherent activities of a
group of people, called collective activities, in video. Related work has argued the benefits of …

This article proposes a multimedia analysis framework to process video and text jointly for
understanding events and answering user queries. The framework produces a parse graph …

Automatic anomaly activity detection is difficult in video surveillance applications due to
variations in size, type, shape, and objects' location. The traditional anomaly detection and …