Recognition of human action is a daunting challenge considering action sequences'
embodied and dynamic existence. Recently designed material depth sensors and the …

Centrality measures in complex systems have been applied in serval domains for problem-
solving. In this paper, we tailor complex system measures to investigate the most interesting …

Critical applications ranging from sensitive military data to restricted area access demand
selective user authentication. The prevalent methods of tokens, passwords, and other …

Human pose estimation methods have difficulties predicting the correct pose for persons
due to challenges in scale variation. Existing works in this domain mainly focus on single …

The method of marking video clips with action symbols is known as vision-based human
activity recognition. Robust solutions to this problem have a variety of practical …

Graph theory originated as a fun way to solve math problems, but it has now evolved into a
significant mathematics subject with several applications in computer vision. The human …

Recent years have seen an explosion in interest in and development of action recognition
based on skeletal data. Contemporary methods using fully gated units can successfully …

Abstract Salient Object Detection (SOD) is a crucial task within the domain of digital image
processing which aims to detect objects in images or videos that attract special human …

The most widely used two-stream architectures and building blocks for human action
recognition in videos generally consist of 2D or 3D convolution neural networks. 3D …