Human action recognition targets recognising different actions from a sequence of
observations and different environmental conditions. A wide different applications is …

Vision-based human action recognition is the process of labeling image sequences with
action labels. Robust solutions to this problem have applications in domains such as visual …

Action recognition has become a very important topic in computer vision, with many
fundamental applications, in robotics, video surveillance, human–computer interaction, and …

A shape-motion prototype-based approach is introduced for action recognition. The
approach represents an action as a sequence of prototypes for efficient and flexible action …

Human Nonverbal Communication Computing aims to investigate how people exploit
nonverbal aspects of their communication to coordinate their activities and social …

Human action recognition is an important branch among the studies of both human
perception and computer vision systems. Along with the development of artificial …

Understanding video events, ie, the translation of low-level content in video sequences into
high-level semantic concepts, is a research topic that has received much interest in recent …

This paper presents a review and comparative study of recent multi-view approaches for
human 3D pose estimation and activity recognition. We discuss the application domain of …

Given a video sequence, the task of action recognition is to identify the most similar action
among the action sequences learned by the system. Such human action recognition is …

This paper presents a novel human home activity recognition (HAR) system designed for
smart homes that utilize depth silhouettes and ℜ transformation to continuously recognize …