Human Action Recognition (HAR) aims to understand human behavior and assign a label to
each action. It has a wide range of applications, and therefore has been attracting increasing …

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

Scene flow describes the motion of 3D objects in real world and potentially could be the
basis of a good feature for 3D action recognition. However, its use for action recognition …

Classification of human actions is an ongoing research problem in computer vision. This
review is aimed to scope current literature on data fusion and action recognition techniques …

Human skeleton is receiving increasing attention from the community of human action
recognition due to its robustness to complex image backgrounds. Previous methods usually …

Automatic human activity recognition is an integral part of any interactive application
involving humans (eg, human–robot interaction systems). One of the main challenges for …

In this paper, we focus on egocentric action anticipation from videos, which enables various
applications, such as helping intelligent wearable assistants understand users' needs and …

Visual recognition inside the vehicle cabin leads to safer driving and more intuitive human-
vehicle interaction but such systems face substantial obstacles as they need to capture …

Modality selection is an important step when designing multimodal systems, especially in
the case of cross-domain activity recognition as certain modalities are more robust to …