Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
×
In this work, we propose a sequence classification deep model using depth video data for scenarios when the video data are limited.
Depth video sequence-based deep models for recognizing human actions are scarce compared to RGB and skeleton video sequences-based models.
A Deep Sequence Learning Framework for Action Recognition in Small-Scale Depth Video Dataset. Overview of attention for article published in Sensors ...
Oct 25, 2023 · #paperfromEBM A Deep Sequence Learning Framework for Action Recognition in Small-Scale Depth Video Dataset https://mdpi.com/1424-8220/22/18/6841 ...
Depth video sequence-based deep models for recognizing human actions are scarce compared to RGB and skeleton video sequences-based models.
A Deep Sequence Learning Framework for Action Recognition in Small-Scale Depth Video Dataset. Sensors 2022, 22, 6841. https://doi.org/10.3390/s22186841. AMA ...
Mar 15, 2024 · This paper presents an approach for people detection and action recognition in the wild, optimized for running on the edge, and that is able to work in real- ...
A novel action recognition method by processing the video data using convolutional neural network (CNN) and deep bidirectional LSTM (DB-LSTM) network.
We present a new deep learning approach for real-time 3D human action recognition from skeletal data and apply it to develop a vision-based intelligent ...
Oct 24, 2023 · #mostview A Deep Sequence Learning Framework for Action Recognition in Small-Scale Depth Video Dataset http://mdpi.com/1424-8220/22/18/6841…
People also ask