A review on computer vision-based methods for human action recognition

M Al-Faris, J Chiverton, D Ndzi, AI Ahmed - Journal of imaging, 2020 - mdpi.com
Human action recognition targets recognising different actions from a sequence of
observations and different environmental conditions. A wide different applications is …

A sensor network approach for violence detection in smart cities using deep learning

M Baba, V Gui, C Cernazanu, D Pescaru - Sensors, 2019 - mdpi.com
Citizen safety in modern urban environments is an important aspect of life quality.
Implementation of a smart city approach to video surveillance depends heavily on the …

[HTML][HTML] Weakly supervised violence detection in surveillance video

D Choqueluque-Roman, G Camara-Chavez - Sensors, 2022 - mdpi.com
Automatic violence detection in video surveillance is essential for social and personal
security. Monitoring the large number of surveillance cameras used in public and private …

Human action recognition in video using DB-LSTM and ResNet

A Mihanpour, MJ Rashti, SE Alavi - 2020 6th International …, 2020 - ieeexplore.ieee.org
Human action recognition in video is one of the most widely applied topics in the field of
image and video processing, with many applications in surveillance (security, sports, etc.) …

A cloud-based ambulance detection system using YOLOv8 for minimizing ambulance response time

A Noor, Z Algrafi, B Alharbi, TH Noor, A Alsaeedi… - Applied Sciences, 2024 - mdpi.com
Ambulance vehicles face a challenging issue in minimizing the response time for an
emergency call due to the high volume of traffic and traffic signal delays. Several research …

Human Action Recognition-Based IoT Services for Emergency Response Management

TH Noor - Machine Learning and Knowledge Extraction, 2023 - mdpi.com
Emergency incidents can appear anytime and any place, which makes it very challenging
for emergency medical services practitioners to predict the location and the time of such …

A systematic survey of data mining and big data in human behavior analysis: Current datasets and models

X Ding, Q Gan, S Bahrami - Transactions on Emerging …, 2022 - Wiley Online Library
In recent years, understanding human behavior has become one of the most important
topics in the field of computer vision research. The reason for this growing attention is the …

Vision based automated badminton action recognition using the new local convolutional neural network extractor

NA Rahmad, MA As' ari, MF Ibrahim, NAJ Sufri… - Enhancing Health and …, 2020 - Springer
Performance analysis is essential in sports practice where the athlete is evaluated to
improve their performance. Due to the rapid growth of science and technology, research on …

Automatic quantitative intelligent assessment of neonatal general movements with video tracking

X Huang, C Huang, W Yin, H Huang, Z Xie, Y Huang… - Displays, 2024 - Elsevier
General movement (GM) assessment (GMA) is an internationally recognised tool for the
early screening and diagnosis of neurodevelopmental abnormalities in high-risk infants …

The variegated applications of deep learning techniques in human activity recognition

GS Nambissan, P Mahajan, S Sharma… - Proceedings of the 2021 …, 2021 - dl.acm.org
Humans are vivacious and obstinate in that they are plagued by a constant need to be
motile and sprightly which gives us a goldmine of data to work on. This constant stream of …