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 …
XYZ-channel encoding and augmentation of human joint skeleton coordinates for end-to-end action recognition
Recognizing human actions from skeletal data is a major challenge, as it does not always
deliver optimal performance due to the limited ability to discern the spatio-temporal patterns …
deliver optimal performance due to the limited ability to discern the spatio-temporal patterns …
Computer vision-based approach for skeleton-based action recognition, SAHC
M Shujah Islam - Signal, Image and Video Processing, 2024 - Springer
Given their small size and low weight, skeleton sequences are a great option for joint-based
action detection. Recent skeleton-based action recognition techniques use feature …
action detection. Recent skeleton-based action recognition techniques use feature …
Link prediction grounded upon complex networks based model, based on MJMI-RW
Link prediction is the process of predicting the connection probability between two nodes
based on observable network data, such as network structural topology and node …
based on observable network data, such as network structural topology and node …