Human action recognition in RGB-D videos using motion sequence information and deep learning
EP Ijjina, KM Chalavadi - Pattern Recognition, 2017 - Elsevier
In this paper, we propose an approach for recognizing human actions based on motion
sequence information in RGB-D video using deep learning. A new representation that gives …
sequence information in RGB-D video using deep learning. A new representation that gives …
MultiD-CNN: A multi-dimensional feature learning approach based on deep convolutional networks for gesture recognition in RGB-D image sequences
Human gesture recognition has become a pillar of today's intelligent Human-Computer
Interfaces as it typically provides more comfortable and ubiquitous interaction. Such expert …
Interfaces as it typically provides more comfortable and ubiquitous interaction. Such expert …
Human and action recognition using adaptive energy images
In this paper, we propose a new temporal template approach for action recognition and
person identification based on motion sequence information in masked depth video streams …
person identification based on motion sequence information in masked depth video streams …
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 …
CAD: concatenated action descriptor for one and two person (s), using silhouette and silhouette's skeleton
This study introduces an action descriptor that has the ability to perform human action
recognition efficiently for one and two person (s). The authors' proposed descriptor …
recognition efficiently for one and two person (s). The authors' proposed descriptor …