Applied human action recognition network based on SNSP features
Recognition of human action is a daunting challenge considering action sequences'
embodied and dynamic existence. Recently designed material depth sensors and the …
embodied and dynamic existence. Recently designed material depth sensors and the …
Katz centrality based approach to perform human action recognition by using OMKZ
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 …
solving. In this paper, we tailor complex system measures to investigate the most interesting …
Multimodal biometric authentication: A review
S Pahuja, N Goel - AI Communications, 2024 - content.iospress.com
Critical applications ranging from sensitive military data to restricted area access demand
selective user authentication. The prevalent methods of tokens, passwords, and other …
selective user authentication. The prevalent methods of tokens, passwords, and other …
Single and two-person (s) pose estimation based on R-WAA
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 …
due to challenges in scale variation. Existing works in this domain mainly focus on single …
Human activity recognition based on an amalgamation of CEV & SGM features
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 …
activity recognition. Robust solutions to this problem have a variety of practical …
Utilizing CPG-3D, graph theory anchored approach to recognize human action recognition
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 …
significant mathematics subject with several applications in computer vision. The human …
Employing FGP-3D, a fully gated and anchored methodology, to identify skeleton-based action recognition
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 …
based on skeletal data. Contemporary methods using fully gated units can successfully …
A dual-stream encoder–decoder network with attention mechanism for saliency detection in video (s)
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 …
processing which aims to detect objects in images or videos that attract special human …
A heterogeneous two-stream network for human action recognition
S Liao, X Wang, ZK Yang - AI Communications, 2023 - content.iospress.com
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 …
recognition in videos generally consist of 2D or 3D convolution neural networks. 3D …