Real-time violence detection using deep neural networks and DTW
U Rachna, V Guruprasad, SD Shindhe… - … conference on computer …, 2022 - Springer
With the increased coverage of CCTV cameras across major metropolitan cities, there has
been an increased need to continuously monitor these video feeds for them to be effective …
been an increased need to continuously monitor these video feeds for them to be effective …
2D human skeleton action recognition with spatial constraints
L Wang, J Zhang, W Yang, S Gu, S Yang - IET Computer Vision, 2024 - Wiley Online Library
Human actions are predominantly presented in 2D format in video surveillance scenarios,
which hinders the accurate determination of action details not apparent in 2D data. Depth …
which hinders the accurate determination of action details not apparent in 2D data. Depth …
Analysis of Classroom Processes Based on Deep Learning with Video and Audio Features
An active learning-type class is a class in which students take the initiative. In order to
improve active learning-type classes, attempts have been made to review the content after …
improve active learning-type classes, attempts have been made to review the content after …
3D Convolutional Spiking Neural Network for Human Action Recognition Using Modulating STDP With Global Error Feedback
T Nawarathne, H Leung - 2024 IEEE International Systems …, 2024 - ieeexplore.ieee.org
Video action recognition using 3D Convolutional Neural Networks (CNN) become an
increasingly popular strategy in past years with the evolution of machine learning and …
increasingly popular strategy in past years with the evolution of machine learning and …
Neural-Network-Based Methods for ARPES Data Processing
YV Pustovit, YP Lytveniuk - Ukrainian Journal of Physics, 2024 - ujp.bitp.kiev.ua
In recent years, many developed upgrades of angle-resolved photoemission spectroscopy
(ARPES) have significantly increased the amount of the obtained data. In this article, we …
(ARPES) have significantly increased the amount of the obtained data. In this article, we …
A Stable Deep Learning Model for Recognizing Human Actions in Noisy Videos
I Chand, S Kumar, J Popli… - 2023 IEEE World …, 2023 - ieeexplore.ieee.org
The widespread application and development of technology have significantly improved
people's lives. In recent years, deep learning has emerged as a powerful branch of artificial …
people's lives. In recent years, deep learning has emerged as a powerful branch of artificial …
Action Recognition in videos using VGG19 pre-trained based CNN-RNN Deep Learning Model
Automatic identification and classification of human actions is one the important and
challenging tasks in the field of computer vision that has appealed many researchers since …
challenging tasks in the field of computer vision that has appealed many researchers since …
Human Activity Recognition in Videos Using Deep Learning
Abstract Human Activity Recognition (HAR) is a challenging classification task. In the past, it
traditionally involved the identification of the movement and activities of a person based on …
traditionally involved the identification of the movement and activities of a person based on …
Human Activity Recognition in Videos Using Deep Learning
D Yadav - Soft Computing and Its Engineering Applications: 4th …, 2023 - books.google.com
Human Activity Recognition (HAR) is a challenging classification task. In the past, it
traditionally involved the identification of the movement and activities of a person based on …
traditionally involved the identification of the movement and activities of a person based on …