Action recognition is a major branch of computer vision research. As a widely used
technology, action recognition has been applied to human–computer interaction, intelligent …

Abstract Human Action Recognition (HAR) is a popular area of research in computer vision
due to its wide range of applications such as surveillance, health care, and gaming, etc …

In this paper, a comparative experimental assessment of computer vision-based methods for
sign language recognition is conducted. By implementing the most recent deep neural …

Research in human activity recognition (HAR) has seen tremendous growth and
continuously receiving attention from both the Computer Vision and the Image Processing …

Learning from Demonstration (LfD) constitutes one of the most robust methodologies for
constructing efficient cognitive robotic systems. Despite the large body of research works …

Radio frequency (RF) imaging has been of interest for years due to its ability to create
images of targets without being affected by weather and light conditions. The existing …

3D human pose and shape estimation from a single RGB image is an appealing yet
challenging task. Due to the graph-like nature of human parametric models, a growing …

The present work investigates the problem of multi-modal 3D human action recognition in a
holistic way, following the recent and highly promising trend within the context of Deep …

In this paper, a novel hybrid human-robot recycling plant for electrical and electronic
equipment is introduced. The proposed system will be developed in the context of the …

This paper presents a new approach for dynamic scene recognition based on a super
descriptor tensor decomposition. Recently, local feature extraction based on dense …