Recognizing human activities from video sequences or still images is a challenging task due
to problems, such as background clutter, partial occlusion, changes in scale, viewpoint …

Human activity recognition (HAR) aims to recognize activities from a series of observations
on the actions of subjects and the environmental conditions. The vision‐based HAR …

In recent years, there has been a proliferation of works on human action classification from
depth sequences. These works generally present methods and/or feature representations …

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

We address action recognition in videos by modeling the spatial-temporal structures of
human poses. We start by improving a state of the art method for estimating human joint …

This paper presents an overview of state-of-the-art methods in activity recognition using
semantic features. Unlike low-level features, semantic features describe inherent …

The objective of this paper is to estimate 2D human pose as a spatial configuration of body
parts in TV and movie video shots. Such video material is uncontrolled and extremely …

Recently still image-based human action recognition has become an active research topic in
computer vision and pattern recognition. It focuses on identifying a person׳ s action or …

Activity identification is an essential step to measure and monitor the performance of
earthmoving operations. Many vision-based methods that automatically capture and explain …

This paper addresses recognition of human actions under view changes. We explore self-
similarities of action sequences over time and observe the striking stability of such measures …