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 …

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 …

This paper summarizes results of the 1st Contest on Semantic Description of Human
Activities (SDHA), in conjunction with ICPR 2010. SDHA 2010 consists of three types of …

As compared to actions, activities are much more complex, but semantically they are more
representative of a human׳ s real life. Techniques for action recognition from sensor …

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 …

Human activity recognition has gained importance in recent years due to its applications in
various fields such as health, security and surveillance, entertainment, and intelligent …

Human Activity Recognition using embedded sensors has lately made renowned
development and is drawing growing attention in numerous application domains including …

Human activity recognition is an important area of computer vision research. Its applications
include surveillance systems, patient monitoring systems, and a variety of systems that …

Human activity recognition (HAR) is an important research area in computer vision due to its
vast range of applications. Specifically, the past decade has witnessed enormous growth in …

Understanding the activities of human from videos is demanding task in Computer Vision.
Identifying the actions being accomplished by the human in the video sequence …