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 …

As viewpoint issue is becoming a bottleneck for human motion analysis and its application,
in recent years, researchers have been devoted to view-invariant human motion analysis …

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

Action recognition is an important and challenging topic in computer vision, with many
important applications including video surveillance, automated cinematography and …

This paper provides a comprehensive survey for activity recognition in video surveillance. It
starts with a description of simple and complex human activity, and various applications. The …

The motion history image (MHI) approach is a view-based temporal template method which
is simple but robust in representing movements and is widely employed by various research …

Videos play an ever increasing role in our everyday lives with applications ranging from
news, entertainment, scientific research, security, and surveillance. Coupled with the fact …

We present a system to classify the gesture from only one learning example. The inputs are
duo-modality, ie RGB and depth sensor from Kinect. Our system performs morphological …

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 describes video-based gait feature analysis for gender and age classification
using a large-scale multi-view gait database. First, we constructed a large-scale multi-view …