A smart home, which is an extension of a traditional home, is equipped with ubiquitous
sensors embedded in consumer appliances, connected via sensing technologies such as …

Human action recognition from RGB-D (Red, Green, Blue and Depth) data has attracted
increasing attention since the first work reported in 2010. Over this period, many benchmark …

Human Action Recognition (HAR) for CCTV-oriented applications is still a challenging
problem. Real-world scenarios HAR implementations is difficult because of the gap between …

Articulating an individual behavior analysis from a video stream is considered by most
researchers. It has its own applications in the field of computer vision-based Human activity …

Skeleton data, which is often used in the HCI field, is a data structure that can efficiently
express human poses and gestures because it consists of 3D positions of joints. The …

In today's world, suspicious or unusual activities express threats and danger to others. For
the prevention of various security issues, an automatic video detection system is very …

This paper proposes a new method for view-invariant action recognition that utilizes the
temporal position of skeletal joints obtained by Kinect sensor. In this method, the actions are …

The visual recognition of transitive actions comprising human-object interactions is a key
component for artificial systems operating in natural environments. This challenging task …

Autonomous vehicles (AV) are a promising contemporary engineering innovation. Since
they have no human drivers, their vehicle controllers must be fully informed of the activities …

This paper addresses the problem of recognizing human actions captured with depth
cameras. Human action recognition is a challenging task as the articulated action data is …