Towards an attention mechanism LSTM framework for human action recognition in videos
CI Orozco, ME Buemi, JJ Berlles - 2020 IEEE Congreso Bienal …, 2020 - ieeexplore.ieee.org
Action recognition in videos is currently a topic of interest in the area of computer vision, due
to potential applications such as: multimedia indexing, surveillance in public spaces, among …
to potential applications such as: multimedia indexing, surveillance in public spaces, among …
An efficient video-based rainfall intensity estimation employing different recurrent neural network models
The evaluation of precipitation using conventional approaches encounters various
challenges stemming from limited financial resources, restricted geographic coverage, and …
challenges stemming from limited financial resources, restricted geographic coverage, and …
Video-Audio Neural Network Ensemble For Comprehensive Screening Of Autism Spectrum Disorder in Young Children
ABSTRACT A timely diagnosis of autism is paramount to allow early therapeutic intervention
in preschoolers. Deep Learning (DL) tools have been increasingly used to identify specific …
in preschoolers. Deep Learning (DL) tools have been increasingly used to identify specific …
Fight Detection in surveillance video dataset versus real time surveillance video using 3DCNN and CNN-LSTM
M Shanmughapriya, S Gunasundari… - … on Computer, Power …, 2022 - ieeexplore.ieee.org
The abundant presence of surveillance cameras result in huge volumes of video data, which
need to be monitored constantly. Real time fight detection from surveillance videos will help …
need to be monitored constantly. Real time fight detection from surveillance videos will help …
Next Level of Human-Robot Collaboration by Utilizing AI Pose Estimation and Model Predictive Motion Planning Technologies
E Pozo, B Gerges, M Nafea, F Schrödel - IFAC-PapersOnLine, 2023 - Elsevier
Over recent years, there has been a significant focus on Human Robot Interaction (HRI). The
aim of this interaction is to create a mutually beneficial partnership between humans and …
aim of this interaction is to create a mutually beneficial partnership between humans and …
The Review of Human Activity Recognition Survey
S Chatterjee - 2023 - preprints.org
Abstract Human Action Recognition is widely used in multiple fields to recognize activities
and extract spatial and temporal information. This paper focuses on analyzing various …
and extract spatial and temporal information. This paper focuses on analyzing various …
CNN–LSTM con mecanismo de atención suave para el reconocimiento de acciones humanas en videos
CI Orozco, ME Buemi, JJ Berlles - Elektron, 2021 - elektron.fi.uba.ar
El reconocimiento de acciones en videos es actualmente un tema de interés en el área de
la visión por computador, debido a potenciales aplicaciones como: indexación multimedia …
la visión por computador, debido a potenciales aplicaciones como: indexación multimedia …
BiLSTM with CNN Features For HAR in Videos
CI Orozco, ME Buemi, JJ Berlles - … y Visión (SAIV 2021)-JAIIO 50 …, 2021 - sedici.unlp.edu.ar
El reconocimiento de acciones en videos es actualmente un tema de interés en el área de
visión por computadora debido a sus potenciales aplicaciones tales como indexación en …
visión por computadora debido a sus potenciales aplicaciones tales como indexación en …