Pattern analysis often requires a pre-processing stage for extracting or selecting features in
order to help the classification, prediction, or clustering stage discriminate or represent the …

Human activity recognition (HAR) is an important research area in the fields of human
perception and computer vision due to its wide range of applications. These applications …

Human activity recognition (HAR) is a complex and multifaceted problem. The research
community has reported numerous approaches to perform HAR. Along with HAR …

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

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 …

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 …

In this paper a new multi-view/3D human action/interaction database is presented. The
database has been created using a convergent eight camera setup to produce high …

In this paper, a novel view invariant action recognition method based on neural network
representation and recognition is proposed. The novel representation of action videos is …

In this paper, we present a method for human action recognition from multi-view image
sequences that uses the combined motion and shape flow information with variability …

This is an introduction to multicast routing, which is the study of methods for routing from one
source to many destinations, or from many sources to many destinations. Multicast is …