Human action recognition in videos based on spatiotemporal features and bag-of-poses
MV Da Silva, AN Marana - Applied Soft Computing, 2020 - Elsevier
Currently, there is a large number of methods that use 2D poses to represent and recognize
human action in videos. Most of these methods use information computed from raw 2D …
human action in videos. Most of these methods use information computed from raw 2D …
Skeleton-based abnormal behavior detection using secure partitioned convolutional neural network model
Theabnormal behavior detection is the vital for evaluation of daily-life health status of the
patient with cognitive impairment. Previous studies about abnormal behavior detection …
patient with cognitive impairment. Previous studies about abnormal behavior detection …
Action recognition based on multimode fusion for VR online platform
X Li, H Chen, S He, X Chen, S Dong, P Yan, B Fang - Virtual Reality, 2023 - Springer
The current popular online communication platforms can convey information only in the form
of text, voice, pictures, and other electronic means. The richness and reliability of information …
of text, voice, pictures, and other electronic means. The richness and reliability of information …
A 3D graph convolutional networks model for 2D skeleton‐based human action recognition
L Weng, W Lou, X Shen, F Gao - IET Image Processing, 2023 - Wiley Online Library
With the popularity of cameras, the application of action recognition is more and more
extensive. After the emergence of RGB‐D cameras and human pose estimation algorithms …
extensive. After the emergence of RGB‐D cameras and human pose estimation algorithms …
A Two-Layer Self-Organizing Map with Vector Symbolic Architecture for Spatiotemporal Sequence Learning and Prediction
We propose a new nature-and neuro-science-inspired algorithm for spatiotemporal learning
and prediction based on sequential recall and vector symbolic architecture. A key novelty is …
and prediction based on sequential recall and vector symbolic architecture. A key novelty is …